1. Processing Examples
   An example run can be made for each processing option in 
   this package, using the data files in directory 
   \neuron\batch\dat. These processing examples are run as follows.
 a. Go to the subdirectory \neuron\batch\dat
 b. Start up Nuron
 c. Go to the option you are interested in. However, under 
   "Multilayer Perceptron Processing", you cannot "Analyze a 
    Trained MLP" until you have designed one.
 d. Choose batch processing. The dos editor will edit a parameter
    file, which has responses to programs requests
 e. Exit the Dos editor. The program will now run using responses in 
     the parameter file.
 f. Choose the "Examine Program Output" option, if you like.
 g. For further details on the examples, see the help files for
    the option you are interested in.

2. Designing a MLP Neural Net for Your Own Data
 a. Obtain an ascii data file and put it in the IANS format. File
    Grng is a good example of this format. Figure out how many 
    inputs or features your data has, how many classes or possible
    decisions you have.
 b. Decide how many hidden layers (1 or 2) you want and how many 
    hidden units (up to 40 per layer) you want. One way to do this 
    is to "Estimate Network Structure" under the "Data Format and  
    Pre-Processing" option. Create a network structure file by
    editing a copy of Grng.top or during the manual run of the
    backpropagation program or fast training program.
 c. Decide whether to use coded or uncoded format for the output
    layer. Uncoded, in which there is one output per class, is
    recommended.
 d. Decide whether you want to use backpropagation training or fast
    training. Fast training is recommended.
 e. Go to the "Batch Processing" option under "Fast Training" or 
   "Backpropagation Training", which are under the "Multilayer 
    Perceptron Processing" menu.
 f. Alter the keyboard response file, following the choices you
    have made, and exit the EDIT program. The training program will
    now run.
 g. Choose the "Examine Program Output" option if you like.

