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- From: saswss@unx.sas.com (Warren Sarle)
- Newsgroups: comp.ai.neural-nets,comp.answers,news.answers
- Subject: comp.ai.neural-nets FAQ, Part 6 of 7: Commercial software
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- Archive-name: ai-faq/neural-nets/part6
- Last-modified: 2002-03-28
- URL: ftp://ftp.sas.com/pub/neural/FAQ6.html
- Maintainer: saswss@unx.sas.com (Warren S. Sarle)
-
- The copyright for the description of each product is held by the producer or
- distributor of the product or whoever it was who supplied the description
- for the FAQ, who by submitting it for the FAQ gives permission for the
- description to be reproduced as part of the FAQ in any of the ways specified
- in part 1 of the FAQ.
-
- This is part 6 (of 7) of a monthly posting to the Usenet newsgroup
- comp.ai.neural-nets. See the part 1 of this posting for full information
- what it is all about.
-
- ========== Questions ==========
- ********************************
-
- Part 1: Introduction
- Part 2: Learning
- Part 3: Generalization
- Part 4: Books, data, etc.
- Part 5: Free software
- Part 6: Commercial software
-
- Commercial software packages for NN simulation?
-
- Part 7: Hardware and miscellaneous
-
- ------------------------------------------------------------------------
-
- Subject: Commercial software packages for NN
- ============================================
- simulation?
- ===========
-
- Since the FAQ maintainer works for a software company, he does not recommend
- or evaluate software in the FAQ. The descriptions below are provided by the
- developers or distributors of the software.
-
- Note for future submissions: Please restrict product descriptions to a
- maximum of 60 lines of 72 characters, in either plain-text format or,
- preferably, HTML format. If you include the standard header (name, company,
- address, etc.), you need not count the header in the 60 line maximum. Please
- confine your HTML to features that are supported by primitive browsers,
- especially NCSA Mosaic 2.0; avoid tables, for example--use <pre> instead.
- Try to make the descriptions objective, and avoid making implicit or
- explicit assertions about competing products, such as "Our product is the
- *only* one that does so-and-so." The FAQ maintainer reserves the right to
- remove excessive marketing hype and to edit submissions to conform to size
- requirements; if he is in a good mood, he may also correct your spelling and
- punctuation.
-
- The following simulators are described below:
-
- 1. BrainMaker
- 2. SAS Enterprise Miner Software
- 3. NeuralWorks
- 4. MATLAB Neural Network Toolbox
- 5. Propagator
- 6. NeuroForecaster
- 7. Products of NESTOR, Inc.
- 8. Ward Systems Group (NeuroShell, etc.)
- 9. Neuralyst
- 10. Cortex-Pro
- 11. Partek
- 12. NeuroSolutions
- 13. Qnet For Windows Version 2.0
- 14. NeuroLab, A Neural Network Library
- 15. hav.Software: havBpNet++, havFmNet++, havBpNet:J
- 16. IBM Neural Network Utility
- 17. NeuroGenetic Optimizer (NGO) Version 2.0
- 18. WAND
- 19. The Dendronic Learning Engine
- 20. TDL v. 1.1 (Trans-Dimensional Learning)
- 21. NeurOn-Line
- 22. Neuframe
- 23. OWL Neural Network Library (TM)
- 24. Neural Connection
- 25. Pattern Recognition Workbench Expo/PRO/PRO+
- 26. PREVia
- 27. Trajan 2.1 Neural Network Simulator
- 28. DataEngine
- 29. Machine Consciousness Toolbox
- 30. Professional Basis of AI Backprop
- 31. STATISTICA: Neural Networks
- 32. Braincel (Excel add-in)
- 33. DESIRE/NEUNET
- 34. Viscovery SOMine
- 35. NeuNet Pro
- 36. Neuronics
- 37. RG Software
- 38. Cobalt A.I. Code Builder - Neural Network Edition
- 39. NEURO MODEL and GenOpt
-
- See also
- http://www.emsl.pnl.gov:2080/proj/neuron/neural/systems/software.html
-
- 1. BrainMaker
- +++++++++++++
-
- Product: BrainMaker, BrainMaker Pro
- Company: California Scientific Software
- Address: 10024 Newtown rd, Nevada City, CA, 95959 USA
- Phone: 800 284-8112, 530 478 9040
- Fax: 530 478 9041
- URL: http://www.calsci.com/
- Basic capabilities: train backprop neural nets
- Operating system: Windows, Mac
- System requirements:
-
- Approx. price: $195, $795
-
- BrainMaker Pro 3.7 (DOS/Windows) $795
- Gennetic Training add-on $250
- BrainMaker 3.7 (DOS/Windows/Mac) $195
- Network Toolkit add-on $150
- BrainMaker 3.7 Student version (quantity sales only, about $38 each)
-
- BrainMaker Pro CNAPS Accelerator Board $8145
-
- Introduction To Neural Networks book $30
-
- 30 day money back guarantee, and unlimited free technical support.
- BrainMaker package includes:
- The book Introduction to Neural Networks
- BrainMaker Users Guide and reference manual
- 300 pages, fully indexed, with tutorials, and sample networks
- Netmaker
- Netmaker makes building and training Neural Networks easy, by
- importing and automatically creating BrainMaker's Neural Network
- files. Netmaker imports Lotus, Excel, dBase, and ASCII files.
- BrainMaker
- Full menu and dialog box interface, runs Backprop at 3,000,000 cps
- on a 300Mhz Pentium II; 570,000,000 cps on CNAPS accelerator.
-
- ---Features ("P" means is available in professional version only):
- MMX instruction set support for increased computation speed,
- Pull-down Menus, Dialog Boxes, Programmable Output Files,
- Editing in BrainMaker, Network Progress Display (P),
- Fact Annotation, supports many printers, NetPlotter,
- Graphics Built In (P), Dynamic Data Exchange (P),
- Binary Data Mode, Batch Use Mode (P), EMS and XMS Memory (P),
- Save Network Periodically, Fastest Algorithms,
- 512 Neurons per Layer (P: 32,000), up to 8 layers,
- Specify Parameters by Layer (P), Recurrence Networks (P),
- Prune Connections and Neurons (P), Add Hidden Neurons In Training,
- Custom Neuron Functions, Testing While Training,
- Stop training when...-function (P), Heavy Weights (P),
- Hypersonic Training, Sensitivity Analysis (P), Neuron Sensitivity (P),
- Global Network Analysis (P), Contour Analysis (P),
- Data Correlator (P), Error Statistics Report,
- Print or Edit Weight Matrices, Competitor (P), Run Time System (P),
- Chip Support for Intel, American Neurologics, Micro Devices,
- Genetic Training Option (P), NetMaker, NetChecker,
- Shuffle, Data Import from Lotus, dBASE, Excel, ASCII, binary,
- Finacial Data (P), Data Manipulation, Cyclic Analysis (P),
- User's Guide quick start booklet,
- Introduction to Neural Networks 324 pp book
-
- 2. SAS Enterprise Miner Software
- ++++++++++++++++++++++++++++++++
-
- Product: SAS Enterprise Miner Solution
-
- In USA: In Europe:
- Company: SAS Institute, Inc. SAS Institute, European Office
- Address: SAS Campus Drive Neuenheimer Landstrasse 28-30
- Cary, NC 27513 P.O.Box 10 53 40
- USA D-69043 Heidelberg
- Germany
- Phone: (919) 677-8000 (49) 6221 4160
- Fax: (919) 677-4444 (49) 6221 474 850
-
- URL: http://www.sas.com/
-
- To find the addresses and telephone numbers of other SAS Institute
- offices, including those outside the USA and Europe, connect your web
- browser to http://www.sas.com/offices/intro.html.
-
- Enterprise Miner is an integrated software product that provides an
- end-to-end business solution for data mining based on SEMMA methodology
- (Sample, Explore, Modify, Model, Assess). Statistical tools include
- clustering, decision trees, linear and logistic regression, and neural
- networks. Data preparation tools include outlier detection, variable
- transformations, random sampling, and the partitioning of data sets (into
- training, test, and validation data sets). Advanced visualization tools
- enable you to quickly and easily examine large amounts of data in
- multidimensional histograms, and to graphically compare modeling results.
-
- The neural network tool includes multilayer perceptrons, radial basis
- functions, statistical versions of counterpropagation and learning vector
- quantization, a variety of built-in activation and error functions,
- multiple hidden layers, direct input-output connections, categorical
- variables, standardization of inputs and targets, and multiple
- preliminary optimizations from random initial values to avoid local
- minima. Training is done by powerful numerical optimization algorithms
- instead of tedious backprop.
-
- 3. NeuralWorks
- ++++++++++++++
-
- Product: NeuralWorks Professional II Plus
- NeuralWorks Predict
- Company: NeuralWare
- Adress: 230 East Main Street
- Suite 200
- Carnegie, PA 15106-2700
- Phone: (412) 278-6280
- FAX: (412) 278-6289
-
- Email: sales@neuralware.com
- URL: http://www.neuralware.com/
-
- NeuralWorks Professional II/PLUS is a comprehensive neural network
- development environment. Professional II/PLUS is available for UNIX,
- Linux, and Windows operating systems on a variety of hardware platforms;
- data and network files are fully interchangeable. The Professional
- II/PLUS package contains comprehensive documentation that addresses the
- entire neural network development and deployment process, including a
- tutorial, a guide to neural computing, standard and advanced reference
- manuals, and platform-specific installation and user guides.
-
- NeuralWare's proprietary InstaNet facility allows quick generation of a
- neural network based on any one of 28 standard neural network
- architectures described in neural network literature. After a network is
- created, all parameters associated with it can be directly modified to
- more closely reflect the problem domain. Professional II/PLUS includes
- advanced features such as performance measure-based methods to inhibit
- over-fitting; automatic optimization of hidden layer size and the ability
- to prune hidden units; and an Explain facility that indicates which
- network inputs most influence network outputs.
-
- NeuralWorks Predict is an integrated tool for rapidly creating and
- deploying prediction and classification applications. Predict combines
- neural network technology with genetic algorithms, statistics, and fuzzy
- logic to automatically find solutions for a wide range of problems.
- Predict incorporates years of modeling and analysis experience gained
- from working with customers faced with a wide variety of analysis and
- interpretation problems.
-
- Predict requires no prior knowledge of neural networks. With only minimal
- user involvement it addresses the issues associated with building robust
- models from available empirical data. Predict analyzes input data to
- identify appropriate transforms, partitions the input data into training
- and test sets, selects relevant input variables, and then constructs,
- trains, and optimizes a neural network tailored to the problem. For
- advanced users, Predict also offers direct access to all key training and
- network parameters.
-
- 4. MATLAB Neural Network Toolbox
- ++++++++++++++++++++++++++++++++
-
- The Mathworks Inc.
- 3 Apple Hill Drive
- Natck, MA 01760
- Phone: 508-647-7000
- Fax: 508-647-7001
- URL: http://www.mathworks.com/products/neuralnet/
-
- The Neural Network Toolbox is a powerful collection of MATLAB functions
- for the design, training, and simulation of neural networks. It supports
- a wide range of network architectures with an unlimited number of
- processing elements and interconnections (up to operating system
- constraints). Supported architectures and training methods include:
- supervised training of feedforward networks using the perceptron learning
- rule, Widrow-Hoff rule, several variations on backpropagation (including
- the fast Levenberg-Marquardt algorithm), and radial basis networks;
- supervised training of recurrent Elman networks; unsupervised training of
- associative networks including competitive and feature map layers;
- Kohonen networks, self-organizing maps, and learning vector quantization.
- The Neural Network Toolbox contains a textbook-quality Users' Guide, uses
- tutorials, reference materials and sample applications with code examples
- to explain the design and use of each network architecture and paradigm.
- The Toolbox is delivered as MATLAB M-files, enabling users to see the
- algorithms and implementations, as well as to make changes or create new
- functions to address a specific application.
-
- 5. Propagator
- +++++++++++++
-
- Contact: ARD Corporation,
- 9151 Rumsey Road, Columbia, MD 21045, USA
- propagator@ard.com
- Easy to use neural network training package. A GUI implementation of
- backpropagation networks with five layers (32,000 nodes per layer).
- Features dynamic performance graphs, training with a validation set,
- and C/C++ source code generation.
- For Sun (Solaris 1.x & 2.x, $499),
- PC (Windows 3.x, $199)
- Mac (System 7.x, $199)
- Floating point coprocessor required, Educational Discount,
- Money Back Guarantee, Muliti User Discount
- See http://www.cs.umbc.edu/~zwa/Gator/Description.html
- Windows Demo on:
- nic.funet.fi /pub/msdos/windows/demo
- oak.oakland.edu /pub/msdos/neural_nets
- gatordem.zip pkzip 2.04g archive file
- gatordem.txt readme text file
-
- 6. NeuroForecaster & VisuaData
- ++++++++++++++++++++++++++++++
-
- Product: NeuroForecaster(TM)/Genetica 4.1a
- Contact: Accel Infotech (S) Pte Ltd
- 648 Geylang Road
- Republic of Singapore 1438
- Phone: +65-7446863, 3366997
- Fax: +65-3362833
- URL: http://web.singnet.com.sg/~midaz/
-
- Neuroforecaster 4.1a for Windows is priced at US$1199 per single user
- license. Please email accel@technet.sg for order form.
-
- NeuroForecaster is a user-friendly ms-windows neural network program
- specifically designed for building sophisticated and powerful forecasting
- and decision-support systems (Time-Series Forecasting, Cross-Sectional
- Classification, Indicator Analysis)
- Features:
- o GENETICA Net Builder Option for automatic network optimization
- o 12 Neuro-Fuzzy Network Models
- o Multitasking & Background Training Mode
- o Unlimited Network Capacity
- o Rescaled Range Analysis & Hurst Exponent to Unveil Hidden Market
- o Cycles & Check for Predictability
- o Correlation Analysis to Compute Correlation Factors to Analyze the
- o Significance of Indicators
- o Weight Histogram to Monitor the Progress of Learning
- o Accumulated Error Analysis to Analyze the Strength of Input Indicators
- The following example applications are included in the package:
- o Credit Rating - for generating the credit rating of bank loan
- applications.
- o Stock market 6 monthly returns forecast
- o Stock selection based on company ratios
- o US$ to Deutschmark exchange rate forecast
- o US$ to Yen exchange rate forecast
- o US$ to SGD exchange rate forecast
- o Property price valuation
- o Chaos - Prediction of Mackey-Glass chaotic time series
- o SineWave - For demonstrating the power of Rescaled Range Analysis and
- significance of window size
- Techniques Implemented:
- o GENETICA Net Builder Option - network creation & optimization based on
- Darwinian evolution theory
- o Backprop Neural Networks - the most widely-used training algorithm
- o Fastprop Neural Networks - speeds up training of large problems
- o Radial Basis Function Networks - best for pattern classification
- problems
- o Neuro-Fuzzy Network
- o Rescaled Range Analysis - computes Hurst exponents to unveil hidden
- cycles & check for predictability
- o Correlation Analysis - to identify significant input indicators
- o
- Companion Software - VisuaData for Windows A user-friendly data
- management program designed for intelligent technical analysis. It reads
- -------------------------------------------------------------------------
- MetaStock, CSI, Computrac and various ASCII data file formats
- directly, generates over 100 popular and new technical indicators and
- buy/sell signals.
-
- 7. Products of NESTOR, Inc.
- +++++++++++++++++++++++++++
-
- 530 Fifth Avenue;
- New York, NY 10036; USA;
- Tel.: 001-212-398-7955
- URL: http://asweb.artsci.uc.edu/classics/nestor/nestor.html
-
- Founders:
- Dr. Leon Cooper (having a Nobel Prize) and Dr. Charles Elbaum
- (Brown University).
-
- Neural Network Models:
- Adaptive shape and pattern recognition (Restricted Coulomb Energy - RCE)
- developed by NESTOR is one of the most powerfull Neural Network Model
- used in a later products.
-
- The basis for NESTOR products is the Nestor Learning System - NLS. Later
- are developed: Character Learning System - CLS and Image Learning System
- - ILS. Nestor Development System - NDS is a development tool in
- Standard C - a powerfull PC-Tool for simulation and development of
- Neural Networks.
-
- NLS is a multi-layer, feed forward system with low connectivity within
- each layer and no relaxation procedure used for determining an output
- response. This unique architecture allows the NLS to operate in real
- time without the need for special computers or custom hardware.
-
- NLS is composed of multiple neural networks, each specializing in a
- subset of information about the input patterns. The NLS integrates the
- responses of its several parallel networks to produce a system response.
-
- Minimized connectivity within each layer results in rapid training and
- efficient memory utilization- ideal for current VLSI technology. Intel
- has made such a chip - NE1000.
-
- 8. Ward Systems Group (NeuroShell, etc.)
- ++++++++++++++++++++++++++++++++++++++++
-
-
- Product: NeuroShell Predictor, NeuroShell Classifier,
- NeuroShell Run-Time Server, NeuroShell Trader,
- NeuroShell Trader Professional, NeuroShell 2,
- GeneHunter, NeuroShell Engine
- Company: Ward Systems Group, Inc.
- Address: Executive Park West
- 5 Hillcrest Drive
- Frederick, MD 21702
- USA
- Phone: 301 662-7950
- FAX: 301 662-5666
- Email: WardSystems@msn.com
- URL: http://www.wardsystems.com
-
- Ward Systems Group Product Descriptions:
-
- o NeuroShell. Predictor - This product is used for forecasting and
- estimating numeric amounts such as sales, prices, workload, level,
- cost, scores, speed, capacity, etc. It contains two of our newest
- algorithms (neural and genetic) with no parameters for you to have to
- set. These are our most powerful networks. Reads and writes text
- files.
-
- o NeuroShell. Classifier - The NeuroShell Classifier solves
- classification and categorization problems based on patterns learned
- from historical data. The Classifier produces outputs that are the
- probabilities of the input pattern belonging to each of several
- categories. Examples of categories include {acidic, neutral,
- alkaline}, {buy, sell, hold}, and {cancer, benign}. Like the
- NeuroShell Predictor, it has the latest neural and genetic classifiers
- with no parameters to set. These are our most powerful networks. It
- also reads and writes text files.
-
- o NeuroShell. Run-Time Server - The NeuroShell Run-Time Server allows
- you to distribute networks created with the NeuroShell Predictor or
- NeuroShell Classifier from either a simple interface, from your own
- computer programs, or from Excel spreadsheets.
-
- o NeuroShell Trader. - This is the complete product for anyone trading
- stocks, bonds, futures, commodities, currencies, derivatives, etc. It
- works the way you think and work: for example, it reads open, high,
- low, close type price streams. It contains charting, indicators, the
- latest neural nets, trading simulations, data downloading, and walk
- forward testing, all seamlessly working together to make predictions
- for you. The NeuroShell Trader contains our most powerful network
- type.
-
- o NeuroShell Trader. Professional - The Professional incorporates the
- original Trader along with the ability to optimize systems with a
- genetic algorithm even if they don't include neural nets! For example,
- you can enter a traditional trading strategy (using crossovers and
- breakouts) and then find optimal parameters for those crossovers and
- breakouts. You can also use the optimizer to remove useless rules in
- your trading strategy.
-
- o NeuroShell. 2 - This is our classic general purpose system highly
- suited to students and professors who are most comfortable with
- traditional neural nets (not recommended for problem solving in a
- business or scientific environment). It contains 16 traditional neural
- network paradigms (algorithms) and combines ease of use and lots of
- control over how the networks are trained. Parameter defaults make it
- easy for you to get started, but provide generous flexibility and
- control later for experimentation. Networks can either predict or
- classify. Uses spreadsheet files, but can import other types. Runtime
- facilities include a source code generator, and there are several
- options for processing many nets, 3D graphics (response surfaces), and
- financial or time series indicators. It does not contain our newest
- network types that are in the NeuroShell Predictor, the NeuroShell
- Classifier and the NeuroShell Trader.
-
- o GeneHunter. - This is a genetic algorithm product designed for
- optimizations like finding the best schedules, financial indicators,
- mixes, model variables, locations, parameter settings, portfolios,
- etc. More powerful than traditional optimization techniques, it
- includes both an Excel spreadsheet add-in and a programmer's tool kit.
-
- o NeuroShell. Engine - This is an Active X control that contains the
- neural and genetic training methods that we have used ourselves in the
- NeuroShell Predictor, the NeuroShell Classifier, and the NeuroShell
- Trader. They are available to be integrated into your own computer
- programs for both training and firing neural networks. The NeuroShell
- Engine is only for the most serious neural network users, and only
- those who are programmers or have programmers on staff.
-
- Contact us for a free demo diskette and Consumer's Guide to Neural
- Networks.
-
- 9. Neuralyst
- ++++++++++++
-
- Product: Neuralyst Version 1.4;
- Company: Cheshire Engineering Corporation;
- Address: 650 Sierra Madre Villa, Suite 201, Pasedena CA 91107;
- Phone: 818-351-0209;
- Fax: 818-351-8645;
- URL: http://www.cheshireeng.com/Neuralyst/
-
- Basic capabilities: training of backpropogation neural nets. Operating
- system: Windows or Macintosh running Microsoft Excel Spreadsheet.
- Neuralyst is an add-in package for Excel. Approx. price: $195 for windows
- or Mac.
-
- 10. Cortex-Pro
- ++++++++++++++
-
- Cortex-Pro information is on WWW at:
- http://www.reiss.demon.co.uk/webctx/intro.html.
- You can download a working demo from there.
- Contact: Michael Reiss ( http://www.mth.kcl.ac.uk/~mreiss/mick.html)
- email: <m.reiss@kcl.ac.uk>.
-
- 11. Partek
- ++++++++++
-
- Partek is a young, growing company dedicated to providing our customers
- with the best software and services for data analysis and modeling. We do
- this by providing a combination of statistical analysis and modeling
- techniques and modern tools such as neural networks, fuzzy logic, genetic
- algorithms, and data visualization. These powerful analytical tools are
- delivered with high quality, state of the art software.
-
- Please visit our home on the World Wide Web: www.partek.com
-
- Partek Incorporated
- 5988 Mid Rivers Mall Dr.
- St. Charles, MO 63304
- voice: 314-926-2329
- fax: 314-441-6881
- email: info@partek.com
- http://www.partek.com/
-
- 12. NeuroSolutions v3.0
- +++++++++++++++++++++++
-
- Product: NeuroSolutions
- Company: NeuroDimension, Inc.
- Address: 1800 N. Main St., Suite D4
- Gainesville FL, 32609
- Phone: (800) 634-3327 or (352) 377-5144
- FAX: (352) 377-9009
- Email: info@nd.com
- URL: http://www.nd.com/
- Operating System: Windows 95/98/Me/NT/2000
- Price: $195 - $1995 (educational discounts available)
-
- NeuroSolutions is a highly graphical neural network development tool for
- Windows 95/98/Me/NT/2000. This leading edge software combines a modular,
- icon-based network design interface with an implementation of advanced
- learning procedures, such as recurrent backpropagation, backpropagation
- through time and genetic optimization. The result is a virtually
- unconstrained environment for designing neural networks for research or
- to solve real-world problems.
-
- Download a free evaluation copy from http://www.nd.com/download.htm.
-
- Topologies
- ----------
-
- o Multilayer perceptrons (MLPs)
- o Generalized Feedforward networks
- o Modular networks
- o Jordan-Elman networks
- o Self-Organizing Feature Map (SOFM) networks
- o Radial Basis Function (RBF) networks
- o Time Delay Neural Networks (TDNN)
- o Time-Lag Recurrent Networks (TLRN)
- o Recurrent Networks (TLRN)
- o General Regression Networks (GRNN)
- o Probabilistic Networks (PNN)
- o Neuro-Fuzzy Networks
- o Support Vector Machines (SVM)
- o User-defined network topologies
-
- Learning Paradigms
- ------------------
-
- o Backpropagation
- o Recurrent Backpropagation
- o Backpropagation through Time
- o Conjugate Gradient Learning
- o Unsupervised Learning
- o Hebbian
- o Oja's
- o Sanger's
- o Competitive
- o Kohonen
-
- Advanced Features
- -----------------
-
- o ANSI C++ Source Code Generation
- o Customized Components through DLLs
- o Genetic Optimization
- o Microsoft Excel Add-in -- NeuroSolutions for Excel
- o Visual Data Selection
- o Data Preprocessing and Analysis
- o Batch Training and Parameter Optimization
- o Sensitivity Analysis
- o Automated Report Generation
- o DLL Generation Utility -- The Custom Solution Wizard
- o Encapsulate any supervised NeuroSolutions NN into a Dynamic Link
- Library (DLL)
- o Use the DLL to embed a NN into your own Visual Basic, Microsoft
- Excel, Microsoft Access or Visual C++ application
- o Support for both Recall and Learning networks available
- o Simple protocol for sending the input data and retrieving the
- network response
- o Comprehensive Macro Language
- o Fully accessible from any OLE-compliant application, such as:
- o Visual Basic
- o Microsoft Excel
- o Microsoft Access
-
- 13. Qnet For Windows Version 2.0
- ++++++++++++++++++++++++++++++++
-
- Vesta Services, Inc.
- 1001 Green Bay Rd, Suite 196
- Winnetka, IL 60093
- Phone: (708) 446-1655
- E-Mail: VestaServ@aol.com
-
- Trial Version Available: http://www.qnetv2k.com/
-
- Vesta Services announces Qnet for Windows Version 2.0. Qnet is an
- advanced neural network modeling system that is ideal for developing and
- implementing neural network solutions under Windows. The use of neural
- network technology has grown rapidly over the past few years and is being
- employed by an increasing number of disciplines to automate complex
- decision making and problem solving tasks. Qnet Version 2 is a powerful,
- 32-bit, neural network development system for Windows NT, Windows 95 and
- Windows 3.1/Win32s. In addition its development features, Qnet automates
- access and use of Qnet neural networks under Windows.
-
- Qnet neural networks have been successfully deployed to provide solutions
- in finance, investing, marketing, science, engineering, medicine,
- manufacturing, visual recognition... Qnet's 32-bit architecture and
- high-speed training engine tackle problems of large scope and size. Qnet
- also makes accessing this advanced technology easy. Qnet's neural network
- setup dialogs guide users through the design process. Simple copy/paste
- procedures can be used to transfer training data from other applications
- directly to Qnet. Complete, interactive analysis is available during
- training. Graphs monitor all key training information. Statistical checks
- measure model quality. Automated testing is available for training
- optimization. To implement trained neural networks, Qnet offers a variety
- of choices. Qnet's built-in recall mode can process new cases through
- trained neural networks. Qnet also includes a utility to automate access
- and retrieval of solutions from other Windows applications. All popular
- Windows spreadsheet and database applications can be setup to retrieve
- Qnet solutions with the click of a button. Application developers are
- provided with DLL access to Qnet neural networks and for complete
- portability, ANSI C libraries are included to allow access from virtually
- any platform.
-
- Qnet for Windows is being offered at an introductory price of $199. It is
- available immediately and may be purchased directly from Vesta Services.
- Vesta Services may be reached at (voice) (708) 446-1655; (FAX) (708)
- 446-1674; (e-mail) VestaServ@aol.com; (mail) 1001 Green Bay Rd, #196,
- Winnetka, IL 60093
-
- 14. NeuroLab, A Neural Network Library
- ++++++++++++++++++++++++++++++++++++++
-
- Contact: Mikuni Berkeley R & D Corporation; 4000 Lakeside Dr.; Richmond,
- CA
- Tel: 510-222-9880; Fax: 510-222-9884; e-mail: neurolab-info@mikuni.com
-
- NeuroLab is a block-diagram-based neural network library for Extend
- simulation software (developed by Imagine That, Inc.). The library aids
- the understanding, designing and simulating of neural network systems.
- The library consists of more than 70 functional blocks for artificial
- neural network implementation and many example models in several
- professional fields.The package provides icon-based functional blocks for
- easy implementation of simulation models. Users click, drag and connect
- blocks to construct a neural network and can specify network
- parameters--such as back propagation methods, learning rates, initial
- weights, and biases--in the dialog boxes of the functional blocks.
- Users can modify blocks with the Extend model-simulation scripting
- language, ModL, and can include compiled program modules written in other
- languages using XCMD and XFCN (external command and external function)
- interfaces and DLL (dynamic linking library) for Windows. The package
- provides many kinds of output blocks to monitor neural network status in
- real time using color displays and animation and includes special blocks
- for control application fields. Educational blocks are also included for
- people who are just beginning to learn about neural networks and their
- applications.
- The library features various types of neural networks --including
- Hopfield, competitive, recurrent, Boltzmann machine, single/multilayer
- feed-forward, perceptron, context, feature map, and counter-propagation--
- and has several back-propagation options: momentum and normalized
- methods, adaptive learning rate, and accumulated learning.
-
- The package runs on Macintosh II or higher (FPU recommended) with system
- 6.0.7 or later and PC compatibles (486 or higher recommended) with
- Windows 3.1 or later, and requires 4Mbytes of RAM. Models are
- transferable between the two platforms. NeuroLab v1.2 costs US$495
- (US$999 bundled with Extend v3.1). Educational and volume discounts are
- available.
- A free demo can be downloaded by ftp://ftp.mikuni.com/pub/neurolab or
- http://www.mikuni.com/. Orders, questions or suggestions can be sent by
- e-mail to neurolab-info@mikuni.com.
-
- 15. hav.Software: havBpNet++, havFmNet++, havBpNet:J
- ++++++++++++++++++++++++++++++++++++++++++++++++++++
-
- Names: havBpNet++
- havFmNet++
- havBpNet:J
- Company: hav.Software
- P.O. Box 354
- Richmond, Tx. 77406-0354 - USA
- Phone: (281) 341-5035
- Email: hav@hav.com
- Web: http://www.hav.com/
-
- o havBpNet++ is a C++ class library that implements feedforward, simple
- recurrent and random-ordered recurrent nets trained by
- backpropagation. Used for both stand-alone and embedded network
- training and consultation applications. A simple layer-based API,
- along with no restrictions on layer-size or number of layers, makes it
- easy to build standard 3-layer nets or much more complex multiple
- sub-net topologies.
-
- Supports all standard network parameters (learning-rate, momentum,
- Cascade- coefficient, weight-decay, batch training, etc.). Includes 5
- activation-functions (Linear, Logistic-sigmoid, Hyperbolic-tangent,
- Sin and Hermite) and 3 error-functions (e^2, e^3, e^4). Also included
- is a special scaling utility for data with large dynamic range.
-
- Several data-handling classes are also included. These classes, while
- not required, may be used to provide convenient containers for
- training and consultation data. They also provide several
- normalization/de-normalization methods.
-
- havBpNet++ is delivered as fully documented source + 200 pg
- User/Developer Manual. Includes a special DLL version. Includes
- several example trainers and consulters with data sets. Also included
- is a fully functioning copy of the havBpETT demo (with network-save
- enabled).
-
- NOTE: a freeware version (Save disabled) of the havBpETT demo may be
- downloaded from the hav.Software home-page:
- http://www.neosoft.com/~hav or by anonymous ftp from
- ftp://ftp.neosoft.com/pub/users/h/hav/havBpETT/demo2.exe.
-
- Platforms: Tested platforms include - PC (DOS, Windows-3.1, NT, Unix),
- HP (HPux), SUN (Sun/OS), IBM (AIX), SGI (Irix).
- Source and Network-save files portable across platforms.
-
- Licensing: havBpNet++ is licensed by number of developers.
- A license may be used to support development on any number
- and types of cpu's.
- No Royalties or other fees (except for OEM/Reseller)
-
- Price: Individual $50.00 - one developer
- Site $500.00 - multiple developers - one location
- Corporate $1000.00 - multiple developers and locations
- OEM/Reseller quoted individually
- (by American Express, bank draft and approved company PO)
-
- Media: 3.5-inch floppy - ascii format (except havBpETT which is in PC-exe
- format).
-
- o havFmNet++ is a C++ class library that implements Self-Organizing
- Feature Map nets. Map-layers may be from 1 to any dimension.
-
- havFmNet++ may be used for both stand-alone and embedded network
- training and consultation applications. A simple Layer-based API,
- along with no restrictions on layer-size or number of layers, makes it
- easy to build single- layer nets or much more complex multiple-layer
- topologies. havFmNet++ is fully compatible with havBpNet++ which may
- be used for pre- and post- processing.
-
- Supports all standard network parameters (learning-rate, momentum,
- neighborhood, conscience, batch, etc.). Uses On-Center-Off-Surround
- training controlled by a sombrero form of Kohonen's algorithm. Updates
- are controllable by three neighborhood related parameters:
- neighborhood-size, block-size and neighborhood-coefficient cutoff.
- Also included is a special scaling utility for data with large dynamic
- range.
-
- Several data-handling classes are also included. These classes,
- while not required, may be used to provide convenient containers for
- training and consultation data. They also provide several
- normalization/de-normalization methods.
-
- havFmNet++ is delivered as fully documented source plus 200 pg
- User/Developer Manual. Includes several example trainers and
- consulters with data sets.
-
- Platforms: Tested platforms include - PC (DOS, Windows-3.1, NT, Unix),
- HP (HPux), SUN (Sun/OS), IBM (AIX), SGI (Irix).
- Source and Network-save files portable across platforms.
-
- Licensing: havFmNet++ is licensed by number of developers.
- A license may be used
- to support development on any number and types of cpu's.
- No Royalties or other fees (possible exception for OEM).
-
- Price: Individual $50.00 - one developer
- Site $500.00 - multiple developers - one location
- Corporate $1000.00 - multiple developers and locations
- OEM/Reseller quoted individually
- (by American Express, bank draft and approved company PO)
-
- Media: 3.5-inch floppy - ascii format
-
- o havBpNet:J is a Java class library that implements feedforward, simple
- recurrent (sequential) and random-ordered recurrent nets trained by
- backpropagation. Used for both stand-alone and embedded network
- training and consultation applications and applets. A simple
- layer-based API, along with no restrictions on layer-size or number of
- layers, makes it easy to build standard 3-layer nets or much more
- complex multiple sub-net topologies.
-
- Supports all standard network parameters (learning-rate, momentum,
- Cascade-coefficient, weight-decay, batch training, error threshold,
- etc.). Includes 5 activation-functions (Linear, Logistic-sigmoid,
- Hyperbolic-tangent, Sin and Hermite) and 3 error-functions (e^2, e^3,
- e^4). Also included is a special scaling utility for data with large
- dynamic range.
-
- Several data-handling classes are also included. These classes, while
- not required, may be used to provide convenient containers for
- training and consultation data. They also provide several
- normalization/de-normalization methods.
-
- Platforms: Java Virtual Machines - 1.0 and later
-
- Licensing: No Royalties or other fees (except for OEM/Reseller)
-
- Price: Individual License is $55.00
- Site, Corporate and OEM/Reseller also available
-
- Media: Electronic distribution only.
-
- 16. IBM Neural Network Utility
- ++++++++++++++++++++++++++++++
-
- Product Name: IBM Neural Network Utility
- Distributor: Contact a local reseller or call 1-800-IBM-CALL, Dept. SA045
- to order.
- Basic capabilities: The Neural Network Utility Family consists of six
- products: client/server capable versions for OS/2, Windows, AIX, and
- standalone versions for OS/2 and Windows. Applications built with NNU are
- portable to any of the supported platforms regardless of the development
- platform. NNU provides a powerful, easy to use, point-and-click graphical
- development environment. Features include: data translation and scaling,
- applicaton generation, multiple network models, and automated network
- training. We also support fuzzy rule systems, which can be combined with
- the neural networks. Once trained, our APIs allow you to embed your
- network and/or rulebase into your own applications.
- Operating Systems: OS/2, Windows, AIX, AS/400
- System requirements: basic; request brochure for more details
- Price: Prices start at $250
- For product brochures, detailed pricing information, or any other
- information, send a note to nninfo@vnet.ibm.com.
-
- 17. NeuroGenetic Optimizer (NGO) Version 2.0
- ++++++++++++++++++++++++++++++++++++++++++++
-
- BioComp's leading product is the NeuroGenetic Optimizer, or NGO. As the
- name suggests, the NGO is a neural network development tool that uses
- genetic algorithms to optimize the inputs and structure of a neural
- network. Without the NGO, building neural networks can be tedious and
- time consuming even for an expert. For example, in a relatively simple
- neural network, the number of possible combination of inputs and neural
- network structures can be easily over 100 billion. The difference between
- an average network and an optimum network is substantial. The NGO
- searches for optimal neural network solutions. See our web page at
- http://www.bio-comp.com. for a demo that you can download and try out.
- Our customers who have used other neural network development tools are
- delighted with both the ease of use of the NGO and the quality to their
- results.
-
- BioComp Systems, Inc. introduced version 1.0 of the NGO in January of
- 1995 and now proudly announces version 2.0. With version 2.0, the NGO is
- now equipped for predicting time-based information such as product sales,
- financial markets and instruments, process faults, etc., in addition to
- its current capabilities in functional modeling, classification, and
- diagnosis.
-
- While the NGO embodies sophisticated genetic algorithm search and neural
- network modeling technology, it has a very easy to use GUI interface for
- Microsoft Windows. You don't have to know or understand the underlying
- technology to build highly effective financial models. On the other hand,
- if you like to work with the technology, the NGO is highly configurable
- to customize the NGO to your liking.
-
- Key new features of the NGO include:
- o Highly effective "Continuous Adaptive Time", Time Delay and lagged
- input Back Propagation neural networks with optional recurrent
- outputs, automatically competing and selected based on predictive
- accuracy.
- o Walk Forward Train/Test/Validation model evaluation for assuring model
- robustness,
- o Easy input data lagging for Back Propagation neural models,
- o Neural transfer functions and techniques that assure proper
- extrapolation of predicted variables to new highs,
- o Confusion matrix viewing of Predicted vs. Desired results,
- o Exportation of models to Excel 5.0 (Win 3.1) or Excel 7.0 (Win'95/NT)
- through an optional Excel Add-In
- o Five accuracies to choose from including; Relative Accuracy,
- R-Squared, Mean Squared Error (MSE), Root Mean Square (RMS) Error and
- Average Absolute error.
-
- With version 2.0, the NGO is now available as a full 32 bit application
- for Windows '95 and Windows NT to take advantage of the 32 bit preemptive
- multitasking power of those platforms. A 16 bit version for Windows 3.1
- is also available. Customized professional server based systems are also
- available for high volume automated model generation and prediction.
- Prices start at $195.
-
- BioComp Systems, Inc.
- Overlake Business Center
- 2871 152nd Avenue N.E.
- Redmond, WA 98052, USA
- 1-800-716-6770 (US/Canada voice)=20 1-206-869-6770 (Local/Int'l voice)
- 1-206-869-6850 (Fax) http://www.bio-comp.com.
- biocomp@biocomp.seanet.com 70673.1554@compuserve.com
-
- 18. WAND
- ++++++++
-
- Weightless Neural Design system for Education and Industry.
- Developed by Novel Technical Solutions in association with Imperial
- College of Science, Technology and Medicine (London UK).
- WAND introduces Weightless Neural Technology as applied to Image
- Recognition.
- It includes an automated image preparation package, a weightless neural
- simulator and a comprehensive manual with hands-on tutorials.
- Full information including a download demo can be obtained from:
- http://www.sonnet.co.uk/nts/
- To contact Novel Technical Solutions email: <neural@nts.sonnet.co.uk>.
-
- 19. The Dendronic Learning Engine
- +++++++++++++++++++++++++++++++++
-
- The Dendronic Learning Engine (DLE) Software Development Kit (SDK) allows
- the user to easily program machine learning technology into high
- performance applications. Application programming interfaces to C and C++
- are provided. Supervised learning is supported, as well as the recently
- developed reinforcement learning of value functions and Q-functions. Fast
- evaluation on PC hardware is supported by ALN Decision Trees.
-
- An ALN consists of linear functions with adaptable weights at the leaves
- of a tree of maximum and minimum operators. The tree grows automatically
- during training: a linear piece splits if its error is too high. The
- function computed by an ALN is piecewise linear and continuous, and can
- approximate any continuous function to any required accuracy. Statistics
- are reported on the fit of each linear piece to test data.
-
- The DLE has been very successful in predicting electrical power loads in
- the Province of Alberta. The 24-hour ahead load for all of Alberta (using
- seven weather regions) was predicted using a single ALN. Visit
- http://www.dendronic.com/applications.htm to learn about other successful
- applications to ATM communication systems, walking prostheses for persons
- with incomplete spinal cord injury, and many other areas.
-
- Operating Systems: Windows NT 4.0, 95 and higher.
-
- Price: Prices for the SDK start at $3495 US for a single seat, and are
- negotiable for embedded learning systems. A runtime non-learning system
- can be distributed royalty-free.
-
- The power of the DLE can be tried out using an interactive spreadsheet
- program, ALNBench. ALNBench is free for research, education and
- evaluation purposes. The program can be downloaded from
- http://www.dendronic.com/beta.htm (Please note the installation key given
- there!)
-
- For further information please contact:
-
- William W. Armstrong PhD, President
- Dendronic Decisions Limited
- 3624 - 108 Street, NW
- Edmonton, Alberta,
- Canada T6J 1B4
- Email: arms@dendronic.com
- URL: http://www.dendronic.com/
- Tel. +1 403 421 0800
- (Note: The area code 403 changes to 780 after Jan. 25, 1999)
-
- 20. TDL v. 1.1 (Trans-Dimensional Learning)
- +++++++++++++++++++++++++++++++++++++++++++
-
- Platform: Windows 3.*
- Company: Universal Problem Solvers, Inc.
- WWW-Site (UPSO): http://www.alberts.com/authorpages/00002375/prod_262.htm
- or FTP-Site (FREE Demo only): ftp.coast.net, in Directory:
- SimTel/win3/neurlnet, File: tdl11-1.zip and tdl11-2.zip
- Cost of complete program: US$20 + (US$3 Shipping and Handling).
-
- The purpose of TDL is to provide users of neural networks with a specific
- platform to conduct pattern recognition tasks. The system allows for the
- fast creation of automatically constructed neural networks. There is no
- need to resort to manually creating neural networks and twiddling with
- learning parameters. TDL's Wizard can help you optimize pattern
- recognition accuracy. Besides allowing the application user to
- automatically construct neural network for a given pattern recognition
- task, the system supports trans-dimensional learning. Simply put, this
- allows one to learn various tasks within a single network, which
- otherwise differ in the number of input stimuli and output responses
- utilized for describing them. With TDL it is possible to incrementally
- learn various pattern recognition tasks within a single coherent neural
- network structure. Furthermore, TDL supports the use of semi-weighted
- neural networks, which represent a hybrid cross between standard weighted
- neural networks and weightless multi-level threshold units. Combining
- both can result in extremely compact network structures (i.e., reduction
- in connections and hidden units), and improve predictive accuracy on yet
- unseen patterns. Of course the user has the option to create networks
- which only use standard weighted neurons.
-
- System Highlights:
- 1. The user is in control of TDL's memory system (can decide how many
- examples and neurons are allocated ; no more limitations, except for
- your computers memory).
- 2. TDLs Wizard supports hassle-free development of neural networks, the
- goal of course being optimization of predictive accuracy on unseen
- patterns.
- 3. History option allows users to capture their favorite keystrokes and
- save them. Easy recall for future use.
- 4. Provides symbolic interface which allows the user to create:Input and
- output definition files, Pattern files, and Help files for objects
- (i.e., inputs, input values, and outputs).
- 5. Supports categorization of inputs. This allows the user to readily
- access inputs via a popup menu within the main TDL menu. The
- hierarchical structure of the popup menu is under the full control of
- the application developer (i. e., user).
- 6. Symbolic object manipulation tool: Allows the user to interactively
- design the input/output structure of an application. The user can
- create, delete, or modify inputs, outputs, input values, and
- categories.
- 7. Supports Rule representation: (a) Extends standard Boolean operators
- (i.e., and, or, not) to contain several quantifiers (i.e., atmost,
- atleast, exactly, between). (b) Provides mechanisms for rule revision
- (i.e., refinement) and extraction. (c) Allows partial rule
- recognition. Supported are first- and best-fit.
- 8. Allows co-evolution of different subpopulations (based on type of
- transfer function chosen for each subpopulation).
- 9. Provides three types of crossover operators: simple random, weighted
- and blocked.
- 10. Supports both one-shot as well as multi-shot learning. Multi-shot
- learning allows for the incremental acquisition of different data
- sets. A single expert network is constructed, capable of recognizing
- all the data sets supplied during learning. Quick context switching
- between different domains is possible.
- 11. Three types of local learning rules are included: perceptron, delta
- and fastprop.
- 12. Implements 7 types of unit transfer functions: simple threshold,
- sigmoid, sigmoid-squash, n-level threshold, new n-level-threshold,
- gaussian and linear.
- 13. Over a dozen statistics are collected during various batch training
- sessions. These can be viewed using the chart option.
- 14. A 140+ page hypertext on-line help menu is available.
- 15. A DEMONSTRATION of TDL can be invoked when initially starting the
- program.
-
- 21. NeurOn-Line
- +++++++++++++++
-
- Built on Gensym Corp.'s G2(r), Gensym's NeurOn-Line(r) is a graphical,
- object-oriented software product that enables users to easily build
- neural networks and integrate them into G2 applications. NeurOn-Line is
- well suited for advanced control, data and sensor validation, pattern
- recognition, fault classification, and multivariable quality control
- applications. Gensym's NeurOn-Line provides neural net training and
- on-line deployment in a single, consistent environment. NeurOn-Line's
- visual programming environment provides pre-defined blocks of neural net
- paradigms that have been extended with specific features for real-time
- process control applications. These include: Backprop, Radial Basis
- Function, Rho, and Autoassociative networks. For more information on
- Gensym software, visit their home page at http://www.gensym.com.
-
- 22. Neuframe
- ++++++++++++
-
- Product: Neuframe v.4 - ActiveX Components
- Company: Neusciences
- Address: Unit 2
- Lulworth Business Centre
- Totton
- Southampton
- UK
- SO40 3WW
- Phone: +44 023 80 664011
- Email: sales@neusciences.com
- URL: http://www.neusciences.com
-
- Neuframe is an easy-to-use, visual, object-oriented approach to problem
- solving, allowing the user to embed intelligent technologies within their
- applications. Neuframe provides features that enable businesses to
- investigate and apply Intelligence Technologies from an initial low cost
- experimentation platform, through to the building of embedded
- implementations using software components.
-
- Includes:
- o ODBC
- o Data Pre-Processing
- o Multi-Layered Perceptron
- o Kohonen
- o Kmeans
- o Radial Basis Function
- o Neuro-Fuzzy Logic
- o Statistics and Graphics
- o Code Extract and OLE for development use
-
- Recommended Configuration - Windows 9X, NT4 or 2000, Pentium 200 with
- 64Mb Ram
-
- Price: Commercial £1295 - Educational £777 (pounds sterling)
-
- ActiveX Components
-
- KMeans, Linear Regression, Data Encoder: Price £150 each (pounds
- sterling)
-
- Multi-Layered Perceptron, Radial Basis Function, Projection Pursuit
- Regression, Kohonen: Price £350 each (pounds sterling)
-
- 23. OWL Neural Network Library (TM)
- +++++++++++++++++++++++++++++++++++
-
- Product: OWL Neural Network Library (TM)
- Company: HyperLogic Corporation
- Address: PO Box 300010
- Escondido, CA 92030
- USA
- Phone: +1 619-746-2765
- Fax: +1 619-746-4089
- Email: prodinfo@hyperlogic.com
- URL: http://www.hyperlogic.com/owl.html
-
- The OWL Neural Network Library provides a set of popular networks in the
- form of a programming library for C or C++ software development. The
- library is designed to support engineering applications as well as
- academic research efforts.
-
- A common programming interface allows consistent access to the various
- paradigms. The programming environment consists of functions for
- creating, deleting, training, running, saving, and restoring networks,
- accessing node states and weights, randomizing weights, reporting the
- complete network state in a printable ASCII form, and formatting detailed
- error message strings.
-
- The library includes 20 neural network paradigms, and facilitates the
- construction of others by concatenation of simpler networks. Networks
- included are:
- o Adaptive Bidirectional Associative Memories (ABAM), including
- stochastic versions (RABAM). Five paradigms in all.
- o Discrete Bidirectional Associative Memory (BAM), with individual bias
- weights for increased pattern capacity.
- o Multi-layer Backpropagation with many user controls such as batching,
- momentum, error propagation for network concatenation, and optional
- computation of squared error. A compatible, non-learning integer
- fixed-point version is included. Two paradigms in all.
- o Nonadaptive Boltzmann Machine and Discrete Hopfield Circuit.
- o "Brain-State-in-a-Box" autoassociator.
- o Competitive Learning Networks: Classical, Differential, and
- "Conscience" version. Three paradigms in all.
- o Fuzzy Associative Memory (FAM).
- o "Hamming Network", a binary nearest-neighbor classifier.
- o Generic Inner Product Layer with user-defined signal function.
- o "Outstar Layer" learns time-weighted averages. This network,
- concatenated with Competitive Learning, yields the
- "Counterpropagation" network.
- o "Learning Logic" gradient descent network, due to David Parker.
- o Temporal Access Memory, a unidirectional network useful for recalling
- binary pattern sequences.
- o Temporal Pattern Network, for learning time-sequenced binary patterns.
-
- Supported Environments:
- The object code version of OWL is provided on MS-DOS format diskettes
- with object libraries and makefiles for both Borland and Microsoft C. An
- included Windows DLL supports OWL development under Windows. The package
- also includes Owgraphics, a mouseless graphical user interface support
- library for DOS.
- Both graphical and "stdio" example programs are included.
- The Portable Source Code version of OWL compiles without change on many
- hosts, including VAX, UINX, and Transputer. The source code package
- includes the entire object-code package.
-
- Price:
- USA and Canada: (US) $295 object code, (US) $995 with source
- Outside USA and Canada: (US) $350 object code, (US) $1050 with source
- Shipping, taxes, duties, etc., are the responsibility of the customer.
-
- 24. Neural Connection
- +++++++++++++++++++++
-
- Product: Neural Connection
- Company: SPSS Inc.
- Address: 444 N. Michigan Ave., Chicago, IL 60611
- Phone: 1-800-543-2185
- 1-312-329-3500 (U.S. and Canada)
- Fax: 1-312-329-3668 (U.S. and Canada)
- Email: sales@spss.com
- URL: http://www.spss.com
-
- SPSS has offices worldwide. For inquiries outside the U.S. and Canada,
- please contact the U.S. office to locate the office nearest you.
-
- Operating system : Microsoft Windows 3.1 (runs in Windows 95)
- System requirements: 386 pc or better, 4 MB memory (8MB recommended), 4 MB
- free hard disk space, VGA or SVGA monitor, Mouse or other pointing device,
- Math coprocessor strongly recommended
- Price: $995, academic discounts available
-
- Description
- Neural Connection is a graphical neural network tool which uses an
- icon-based workspace for building models for prediction, classification,
- time series forecasting and data segmentation. It includes extensive
- data management capabilities so your data preparation is easily done
- right within Neural Connection. Several output tools give you the
- ability to explore your models thoroughly so you understand your
- results.
-
- Modeling and Forecasting tools
- * 3 neural network tools: Multi-Layer Perceptron, Radial Basis Function,
- Kohonen network
- * 3 statistical analysis tools: Multiple linear regression, Closest
- class means classifier, Principal component analysis
-
- Data Management tools
- * Filter tool: transformations, trimming, descriptive statistics,
- select/deselect variables for analysis, histograms
- * Time series window: single- or multi-step prediction, adjustable step
- size
- * Network combiner
- * Simulator
- * Split dataset: training, validation and test data
- * Handles missing values
-
- Output Options
- * Text output: writes ASCII and SPSS (.sav) files, actual values,
- probabilities, classification results table, network output
- * Graphical output: 3-D contour plot, rotation capabilties, WhatIf? tool
- includes interactive sensititivity plot, cross section, color contour
- plot
- * Time series plot
-
- Production Tools
- * Scripting language for batch jobs and interactive applications
- * Scripting language for building applications
-
- Documentation
- * User s guide includes tutorial, operations and algorithms
- * Guide to neural network applications
-
- Example Applications
- * Finance - predict account attrition
- * Marketing - customer segmentation
- * Medical - predict length of stay in hospital
- * Consulting - forecast construction needs of federal court systems
- * Utilities - predict number of service requests
- * Sales - forecast product demand and sales
- * Science - classify climate types
-
-
- 25. Pattern Recognition Workbench Expo/PRO/PRO+
- +++++++++++++++++++++++++++++++++++++++++++++++
-
- Name: Pattern Recognition Workbench Expo/PRO/PRO+
- Company: Unica Technologies, Inc.
- Address: 55 Old Bedford Rd., Lincoln, MA 01773 USA
- Phone, Fax: (617) 259-5900, (617) 259-5901
- Email: unica@unica-usa.com
-
- Basic capabilities:
- o Supported architectures and training methods include backpropagation,
- radial basis functions, K nearest neighbors, Gaussian mixture, Nearest
- cluster, K means clustering, logistic regression, and more.
- o Experiment managers interactively control model development by
- walking you through problem definition and set-up;
- o Provides icon-based management of experiments and reports.
- o Easily performs automated input feature selection searches and
- automated algorithm parameter searches (using intelligent search
- methods including genetic algorithms)
- o Statistical model validation (cross-validation, bootstrap
- validation, sliding-window validation).
- o "Giga-spreadsheets" hold 16,000 columns by 16 million rows of data
- each (254 billion cells)!
- o Intelligent spreadsheet supports data preprocessing and manipulation
- with over 100 built-in macro functions. Custom user functions can be
- built to create a library of re-usable macro functions.
- o C source code generation, DLLs, and real-time application linking via
- DDE/OLE links.
- o Interactive graphing and data visualization (line, histogram, 2D and
- 3D scatter graphs).
-
- Operating system: Windows 3.1, WFW 3.11, Windows 95, Windows NT (16-
- and 32-bit versions available)
-
- System requirements: Intel 486+, 8+ MB memory, 5+ MB disk space
-
- Approx. price: software starts at $995.00 (call for more info)
- Solving Pattern Recognition Problems text book: $49.95
- Money-back guarantee
-
- Comments: Pattern Recognition Workbench (PRW) is a comprehensive
- environment/tool for solving pattern recognition problems using neural
- network, machine learning, and traditional statistical technologies. With
- an intuitive, easy-to-use graphical interface, PRW has the flexibility to
- address many applications. With features such as automated model
- generation (via input feature selection and algorithm parameter
- searches), experiment management, and statistical validation, PRW
- provides all the necessary tools from formatting and preprocessing your
- data to setting up, running, and evaluating experiments, to deploying
- your solution. PRW's automated model generation capability can generate
- literally hundreds of models, selecting the best ones from a thorough
- search space, ultimately resulting in better solutions!
-
- 26. PREVia
- ++++++++++
-
- PREVia is a simple Neural Network-based forecasting tool. The current
- commercial version is available in French and English (the downloadable
- version is in English). A working demo version of PREVia is available for
- download at: http://www.elseware.fr/.
-
- Introducing Previa
- ------------------
-
- Based on a detailed analysis of the forecasting decision process, Previa
- was jointly designed and implemented by experts in economics and finance,
- and neural network systems specialists including both mathematicians and
- computer scientists. Previa thus enables the experimentation, testing,
- and validation of numerous models. In a few hours, the forecasting expert
- can conduct a systematic experimentation, generate a study report, and
- produce an operational forecasting model. The power of Previa stems from
- the model type used, i.e., neural networks. Previa offers a wide range of
- model types, hence allowing the user to create and test several
- forecasting systems, and to assess each of them with the same set of
- criteria. In this way, Previa offers a working environment where the user
- can rationalise his or her decision process. The hardware requirements of
- Previa are: an IBM-compatible PC with Windows 3.1 (c) or Windows95. For
- the best performance, an Intel 486DX processor is recommended. Previa is
- delivered as a shrink-wrapped application software, as well as a dynamic
- link library (DLL) for the development of custom software. The DLL
- contains all the necessary functions and data structures to manipulate
- time series, neural networks, and associated algorithms. The DLL can also
- be used to develop applications with Visual BasicTM. A partial list of
- features:
-
- * Definition of a forecast equation : *
- Definition of the variable to forecast and explanatory variables.
- Automatic harmonisation of the domains and periodicities involved in
- the equation.
- * Choice of a neuronal model associated with the forecasting equation : *
- Automatic or manual definition of multi-layered architectures.
- Temporal models with loop-backs of intermediate layers.
- * Fine-tuning of a neuronal model by training *
- Training by gradient back-propagation.
- Automatic simplification of architectures.
- Definition of training objectives by adaptation of the optimisation
- criterion.
- Definition of model form constraints.
- Graphing of different error criteria.
- * Analysis of a neuronal model: *
- View of Hinton graph associated with each network layer.
- Connection weight editing.
- Calculation of sensitivity and elasticity of the variable to forecast,
- in relation to the explanatory variables.
- Calculation of the hidden series produced by the neural network.
- * Neural Network-Based Forecasting *
- Operational use of a neural network.
- * Series Analysis *
- Visualisation of a series curve. Editing of the series values.
- Smoothing (simple, double, Holt & Winters)
- Study of the predictability of a series (fractal dimension)
- Comparison of two series. Visualisation of X-Y graphs.
-
- 27. Trajan 2.0 Neural Network Simulator
- +++++++++++++++++++++++++++++++++++++++
-
- Trajan Software Ltd,
- Trajan House,
- 68 Lesbury Close,
- Chester-le-Street,
- Co. Durham,
- DH2 3SR,
- United Kingdom.
-
- WWW: http://www.trajan-software.demon.co.uk
-
- Email: andrew@trajan-software.demon.co.uk
-
- Tel: +44 191 388 5737. (8:00-22:00 GMT).
-
- Features.
- =========
-
- Trajan 2.1 Professional is a Windows-based Neural Network includes
- support for a wide range of Neural Network types, training algorithms,
- and graphical and statistical feedback on Neural Network performance.
-
- Features include:
- 1. Full 32-bit power. Trajan 2.1 is available in a 32-bit version for
- use on Windows 95 and Windows NT platforms, supporting
- virtually-unlimited network sizes (available memory is a constraint).
- A 16-bit version (network size limited to 8,192 units per layer) is
- also available for use on Windows 3.1.
- 2. Network Architectures. Includes Support for Multilayer Perceptrons,
- Kohonen networks, Radial Basis Functions, Linear models, Probabilistic
- and Generalised Regression Neural Networks. Training algorithms
- include the very fast, modern Levenburg-Marquardt and Conjugate
- Gradient Descent algorithms, in addition to Back Propagation (with
- time-dependent learning rate and momentum, shuffling and additive
- noise), Quick Propagation and Delta-Bar-Delta for Multilayer
- Perceptrons; K-Means, K-Nearest Neighbour and Pseudo-Inverse
- techniques for Radial Basis Function networks, Principal Components
- Analysis and specialised algorithms for Automatic Network Design and
- Neuro-Genetic Input Selection. Error plotting, automatic cross
- verification and a variety of stopping conditions are also included.
- 3. Custom Architectures. Trajan allows you to select special
- Activation functions and Error functions; for example, to use Softmax
- and Cross-entropy for Probability Estimation, or City-Block Error
- function for reduced outlier-sensitivity. There are also facilities to
- "splice" networks together and to delete layers from networks,
- allowing you to rapidly create pre- and post-processing networks,
- including Autoassociative Dimensionality Reduction networks.
- 4. Simple User Interface. Trajan's carefully-designed interface gives
- you access to large amounts of information using Graphs, Bar Charts
- and Datasheets. Trajan automatically calculates overall statistics on
- the performance of networks in both classification and regression.
- Virtually all information can be transferred via the Clipboard to
- other Windows applications such as Spreadsheets.
- 5. Pre- and Post-processing. Trajan 2.1 supports a range of pre- and
- post-processing options, including Minimax scaling, Winner-takes-all,
- Unit-Sum and Unit-Length vector. Trajan also assigns classifications
- based on user-specified Accept and Reject thresholds.
-
- 6. Embedded Use. The Trajan Dynamic Link Library gives full
- programmatic access to Trajan's facilities, including network
- creation, editing and training. Trajan 2.1 come complete with sample
- applications written in 'C' and Visual Basic.
- There is also a demonstration version of the Software available; please
- download this to check whether Trajan 2.1 fulfils your needs.
-
- 28. DataEngine
- ++++++++++++++
-
- Product: DataEngine, DataEngine ADL, DataEngine V.i
-
- Company: MIT GmbH
- Address: Promenade 9
- 52076 Aachen
- Germany
-
- Phone: +49 2408 94580
- Fax: +49 2408 94582
- EMail: mailto:info@mitgmbh.de
- URL: http://www.mitgmbh.de
-
- DataEngine is a software tool for data analysis implementing
- Fuzzy Rule Based Systems, Fuzzy Cluster Methods, Neural Networks,
- and Neural-Fuzzy Systems in combination with conventional methods
- of mathematics, statistics, and signal processing.
-
- DataEngine ADL enables you to integrate classifiers or controllers
- developed with DataEngine into your own software environment. It
- is offered as a DLL for MS/Windows or as a C++ library for various
- platforms and compilers.
-
- DataEngine V.i is an add-on tool for LabView (TM) that enables you
- to integrate Fuzzy Logic and Neural Networks into LabView through
- virtual instruments to build systems for data analysis as well as
- for Fuzzy Control tasks.
-
- 29. Machine Consciousness Toolbox
- +++++++++++++++++++++++++++++++++
-
- Can a machine help you understand the mechanisms of consciousness?
- A visual, interactive application for investigating artificial
- consciousness as inspired by the biological brain.
- Free, fully functional, introductory version with user manual and
- tutorials to download.
- Based on the MAGNUS neural architecture developed at Imperial College,
- London, UK.
- Developed by Novel Technical Solutions.
- Full information and download from: http://www.sonnet.co.uk/nts
-
- [Note from FAQ maintainer: While this product explores some of the
- prerequisites of consciousness in an interesting way, it does not deal
- with deeper philosophical issues such as qualia.]
-
- 30. Professional Basis of AI Backprop
- +++++++++++++++++++++++++++++++++++++
-
- Backprop, rprop, quickprop, delta-bar-delta, supersab, recurrent networks
- for Windows 95 and Unix/Tcl/Tk. Includes C++ source, examples, hypertext
- documentation and the ability to use trained networks in C++ programs.
- $30 for regular people and $200 for businesses and government agencies.
- For details see: http://www.dontveter.com/probp/probp.html or
- http://www.unidial.com/~drt/probp/probp.html
-
- Questions to: Don Tveter, don@dontveter.com
-
- 31. STATISTICA: Neural Networks
- +++++++++++++++++++++++++++++++
-
- Product: STATISTICA: Neural Networks version 4.0
- Company: StatSoft, Inc.
- Address: 2300 E. 14th St.
- Tulsa, OK 74104
- USA
- Phone: (918) 749-1119
- Fax: (918) 749-2217
- Email: info@statsoft.com
- URL: http://www.statsoft.com/
-
- STATISTICA Neural Networks is a comprehensive application capable of
- designing a wide range of neural network architectures, employing both
- widely-used and highly-specialized training algorithms. STATISTICA Neural
- Networks was developed by StatSoft, Inc., the makers of STATISTICA
- software, and is available and supported through a world-wide network of
- StatSoft subsidiaries.
-
- The current version STATISTICA Neural Networks 4.0 offers features such
- as sophisticated training algorithms, an Intelligent Problem Solver that
- walks the user step-by-step through the analysis, a Neuro-Genetic Input
- Selection facility, a large selection of supplementary graphs and
- statistics (e.g., ROC, Response Surfaces, Sensitivity Analysis,
- Regression and Classification statistics), complete support for API
- (Application Programming Interface), and the ability to interface with
- STATISTICA data files and graphs.
-
- STATISTICA Neural Networks includes traditional learning algorithms, such
- as back propagation and sophisticated training algorithms such as
- Conjugate Gradient Descent and Levenberg-Marquardt iterative procedures.
- Typically, choosing the right architecture of a neural network is a
- difficult and time-consuming "trial and error" process, but STATISTICA
- Neural Networks specifically does this for the user. STATISTICA Neural
- Networks features an Intelligent Problem Solver that utilizes heuristics
- and sophisticated optimization strategies to determine the best network
- architecture and walks the user step-by-step through the analysis. The
- Intelligent Problem Solver compares different network types (including
- Linear, Radial Basis Function, Multilayer Perceptron, and Bayesian
- networks), determines the number of hidden units, and chooses the
- Smoothing factor for Radial Basis Function networks.
-
- The process of obtaining the right input variables in exploratory data
- analysis -- typically the case when neural networks are used -- also is
- facilitated by STATISTICA Neural Networks. Neuro-Genetic Input Selection
- procedures aid in determining the input variables that should be used in
- training the network. It uses an optimization strategy to compare the
- possible combinations of input variables to determine which set is most
- effective. STATISTICA Neural Networks offers complete API support so
- advanced users (or designers of corporate "knowledge seeking" or "data
- mining" systems) may be able to integrate the advanced computational
- engines of the Neural Networks module into their custom applications.
-
- STATISTICA Neural Networks can be used as a stand-alone application or
- can interface directly with STATISTICA. It reads and writes STATISTICA
- data files and graphs.
-
- 32. Braincel (Excel add-in)
- +++++++++++++++++++++++++++
-
- Product: Braincel
- Company: Promised Land Technologies
- Address: 195 Church Street 11th Floor
- New Haven, CT 06510
- USA
- Phone: (800) 243-1806 (Outside USA: (203) 562-7335)
- Fax: (203) 624-0655
- Email: gideon@miracle.net
- URL: http://www.promland.com/
- also see http://www.jurikres.com/catalog/ms_bcel.htm
-
- Braincel is an add-in to Excel using a training method called
- backpercolation.
-
- 33. DESIRE/NEUNET
- +++++++++++++++++
-
-
- Product: DESIRE/NEUNET
- Company: G.A. and T.M. Korn Industrial Consultants
- Address: 7750 South Lakeshore Road, # 15
- Chelan, WA 98816
- USA
- Phone: (509) 687-3390
- Email: gatmkorn@aol.com
- URL: http://members.aol.com/gatmkorn
- Price: $ 775 (PC)
- $ 2700 (SPARCstation)
- $ 1800 (SPARCstation/educational)
- Free educational version
-
- DESIRE (Direct Executing SImulation in REal time) is a completely
- interactive system for dynamic-system simulation (up to 6,000
- differential equations plus up to 20,000 difference equations in scalar
- or matrix form; 13 integration rules) for control, aerospace, and
- chemical engineering, physiological modeling, and ecology. Easy
- programming of multirun studies (statistics, optimization). Complex
- frequency-response plots, fast Fourier transforms, screen editor,
- connection to database program.
-
- DESIRE/NEUNET adds interactive neural-network simulation (to 20,000
- interconnections) and fuzzy logic. Simulates complete dynamic systems
- controlled by neural networks and/or fuzzy logic. Users can develop their
- own neural networks using an easily readable matrix notation, as in:
-
- VECTOR layer2= tanh(W * layer1 + bias)
-
- Over 200 examples include:
- o backpropagation, creeping random search
- o Hopfield networks, bidirectional associative memories
- o perceptrons, transversal filters and predictors
- o competitive learning, counterpropagation
- o very fast emulation of adaptive resonance
- o simulates fuzzy-logic control and radial-basis functions
-
- SCREEN-EDITED PROGRAMS RUN IMMEDIATELY AT HIGH SPEED
-
- Package includes 2 textbooks by G.A. Korn: "Neural Networks and
- Fuzzy-logic Control on Personal Computers and Workstations" (MIT Press,
- 1995), and "Interactive Dynamic-system Simulatiuon under Windows 95 and
- NT" (Gordon and Breach, 1998). Please see our Web site for complete
- tables of contents of books, screen shots, list of users:
- http://members.aol.com/gatmkorn
-
- Complete educational versions of DESIRE/NEUNET for Windows 95 and NT can
- now be downloaded FREE as a .zip file which you un-zip to get an
- automatic INSTALLSHIELD installation program. The educational version is
- identical to our full industrial version except for smaller data areas (6
- instead of 6000 differential equations, smaller neural networks). It will
- run most examples from both textbooks.
-
- 34. Viscovery SOMine
- ++++++++++++++++++++
-
- Product: Viscovery SOMine
- Company: eudaptics software gmbh
- Address: Helferstorferstr. 5/8
- A-1010 Vienna
- AUSTRIA
- Phone: (+43 1) 532 05 70
- Fax: (+43 1) 532 05 70 -21
- e-mail: office@eudaptics.co.at
- URL: http://www.eudaptics.co.at/
- Operating System: Windows 95, Windows NT 4.0
- Prices: $1495 (commercial),
- $695 (non-commercial, i.e. universities)
-
- Viscovery SOMine is a powerful and easy-to-use tool for exploratory data
- analysis and data mining. Employing an enhanced version of Self
- Organizing Maps it puts complex data into order based on its similarity.
- The resulting map can be used to identify and evaluate the features
- hidden in the data. The result is presented in a graphical way which
- allows the user to analyze non-linear relationships without requiring
- profound statistical knowledge. The system further supports full pre- and
- postprocessing, cluster search, association/recall, prediction,
- statistics, filtering, and animated system state monitoring. Through the
- implementation of techniques such as SOM scaling, the speed in creating
- maps is increased compared to the original SOM algorithm.
-
- Download a free evaluation copy from http://www.eudaptics.co.at/demo.htm
-
- 35. NeuNet Pro
- ++++++++++++++
-
- Product: NeuNet Pro
- Company: CorMac Technologies Inc.
- Address: 34 North Cumberland Street
- Thunder Bay, ON P7A 4L4
- Canada
- Phone: (807) 345-7114
- Fax: (807) 345-7114
- Email: sales@cormactech.com
- URL: http://www.cormactech.com
-
- NeuNet Pro is a complete neural network development system:
- o Requires Windows 95, Windows 98, or Windows NT4(sp3).
- o Powerful, easy to use, point and click, graphical development
- environment.
- o Choose either SFAM or Back Propagation.
- o Access data directly from MDB database file.
- o Data may contain up to 255 fields.
- o Split data into training set and testing set, up to 32,000 rows each.
- o Comprehensive graphical reporting of prediction accuracy.
- o Table browse, confusion matrix, scatter graph, and time series graph.
- o Context sensitive help file with 70 page manual.
- o Includes eight sample projects and assortment of sample data.
- o Additional sample data available from URL above.
- o Entire program may be downloaded from URL above.
-
- 36. Neuronics
- +++++++++++++
-
- Product: NNetView
- Company: Neuronics Inc.
- Address: Technoparkstr. 1
- CH-8005 Zurich Switzerland
- Phone: +41 1 445 16 40
- Fax: +41 1 445 16 44
- URL: http://www.neuronics.com
- Operating systems: Windows 95/98/NT and on MacOS.
- Prices: 120 EUR for Simulator
- 310 EUR for Full version incl. camera- and serial interface
- 1260 EUR for Class licence
-
- NNetView is a simulator for neural networks that allows you to connect
- the network directly to the video camera input as well as the
- input/output of the serial port of your PC. In addition, the network can
- include a free architecture of 2-dimensional layers with connections in
- all directions. The most interesting feature is that you can combine
- different standard network types (such as Backpropagation, Hebb,
- Reinforcement Learning, Kohonen or Hopfield networks). NNetView allows to
- learn images (such as faces or colored objects) online and to make robots
- and other machines adaptive.
-
- 37. RG Software
- +++++++++++++++
-
- Product: NN50.DLL Neural Network Software Development Kit (SDK)
- Company: RG Software Corporation
- Address: 6838 W. Cholla
- Peoria, Arizona 85345
- Phone: (623) 773-2396
- FAX: (623) 334-3421
- Email: sales@rgsoftware.com
- URL: http://www.rgsoftware.com
-
- The NN50.DLL Neural Network SDK allows you to incorporate a quickprop
- neural network in your favorite development environment (VB, FoxPro,
- C++, Assembler, Java and just about any other Windows programming
- language) with minimal investment and effort. NN50.DLL trains very fast,
- saves and loads weights, can be used online, stopped and called during
- training and more. NN50's input relevance function is based on
- information gathered from
- ftp://ftp.sas.com/pub/neural/importance.html.
- NN50 is compatible with Windows 95, Windows 98, Windows NT and Windows
- 2000. Unix and Linux versions are also available. Please see
- http://www.rgsoftware.com
- for details.
-
- 38. Cobalt A.I. Code Builder - Neural Network Edition
- ++++++++++++++++++++++++++++++++++++++++++++++++++++++
- Product: Code Builder - Neural Network Edition
- Company: Cobalt A.I. Software
- Phone: (623) 487-3813
- Email: sales@cobaltai.com
- URL: http://www.cobaltai.com
- Price: U.S. $59.00
-
- Cobalt A.I. Code Builder - Neural Network
- Edition is a neural network source code
- generator. Design neural networks and generate
- efficient object oriented source code for C++,
- Java or Visual Basic (VB, Excel, Access, Word).
- Other languages (FoxPro, C# and VB.Net) will
- soon be integrated. Code Builder uses a "Project
- Wizard" to analyze data and suggest inputs, then
- generates source code accordingly.
-
- 39. NEURO MODEL and GenOpt
- ++++++++++++++++++++++++++
-
- Product: NEURO MODEL and GenOpt
- Company: ATLAN-tec KG
- Address: Hans-Martin Schleyer Strasse 18A
- 47877
- Germany
- Phone: +49 2154 92 48 222
- FAX: +49 2154 92 48 100
- Email: nm-sales@atlan-tec.com
- URL: http://www.atlan-tec.com
-
- Neuro Model (NM) is a Windows based ANN
- Development Package which does not require any
- scientific knowledge of ANN. Designed for the
- process industry, NM showed its best performance
- with real world data sets. Preprocessing of all
- data sets by a proprietary cluster algorithm
- provide reliable and consistant information for
- training. The internal combination of different
- mathematical methods eliminates the problem of
- local optima and overfitting. Modelling of
- dynamic non-linearity with implemented time
- behaviour enables the package to predict process
- conditions online in complexe enviroments like
- chemical reactors. Extensive reports of all net
- details include information about training
- parameters and statistics alerts. Software
- validation conform FDA could be done by
- worldwide co-operation with Pharmaplan
- (FRESENIUS AG).
- Ask for FREE (Fullversion on loan) student
- License for your project.
-
- o Customized Components through DLLs
- o Non Linear Genetic Optimization through GEN
- OPT
- o Microsoft Excel Add-in - NM Runtimer for Excel
- o Runtimer for Windows NT, 2000, UNIX, DEC-VAX,
- SOLARIS, LINUX
- o Visual Data Selection
- o Data Preprocessing, Analysis and Modification
- o Batch Training and Parameter Optimization
- o Extensive Information by different Sensitivity
- and Accuracy Analysis
- o Security Net Algorithm shows statistical
- confidence for predicted results
- o Comparison of predicted vs. desired results
- incl. confidence range for the whole
- topography
- o Automated Report Generation incl. DES crypted
- fingerprint
- o Sophisticated Graphic Machine
- o Multi Language Library for international
- Corporate Licenses
-
- Applications References available for:
-
- o Pharma & Bioscience
- o Clinical Medicine Research
- o Chemical Industry
- o Waste Water Treatment Plants
- o Food Industry
- o Plastic Processing
- o Prediction of Energy Consumption Behaviour for
- Electricity / Water / Gas network
-
- ------------------------------------------------------------------------
-
- Next part is part 7 (of 7). Previous part is part
- 5.
-
- --
-
- Warren S. Sarle SAS Institute Inc. The opinions expressed here
- saswss@unx.sas.com SAS Campus Drive are mine and not necessarily
- (919) 677-8000 Cary, NC 27513, USA those of SAS Institute.
-