The AAC Neural Network Tools (NNT) contains 12 neural network paradigms with 4 learning modules. NNT is designed to assist users in integrating neural networks into their application programs. NNT includes: ADALINE/MADALINE, Adaptive Critic, BAM, Boltzman and Cauchy Machines, Cooperative-Competitive, Counterpropogation, Functional-Link, Hopfield, LVQ, Perception, and Self-Organizing Topology Map. Learning methods are Backpropogation Hebbian Learning, Drive Reinforced Learning and Optimal Estimation. NNT can be run in an accelerated mode with the aid of a unique AAC developed MIMD parallel processor system which has been optimized for implementing neural networks.
Robert Pap
President
Accurate Automation Corporation
7001 Shallowford Rd.
Chattanooga, TN 37421
USA
423-894-4646
423-894-4645 (fax)
rmpap@accurate-automation.com
For applications in related solution areas, see the following indices: Algorithmic Development, Communications & Protocols, Hardware Accessories, Image Generation and Processing, Signal Processing, Software Development Tools, the developer index for Accurate Automation Corporation and the product category index for Development Tools.
NNT is a Trademark of Accurate Automation Corp.