1. Data Pre-Processing Functions
 a. Count number of input patterns
 b. Normalize individual features, if desired
 c. Delete unwanted classes
 d. Normalize numbers of patterns per class, if desired
 e. Write new data files to disk, if desired

2. Example of Pre-Processing
 a. Go to the "Batch Processing" option and press <ret>
 b. Observe the parameter file with commented keyboard responses;

1             ! 1 for input in standard form, 2 for nonstandard
GRNG          ! data filename
17            ! number of numbers per pattern including inputs and class id
0             ! 1 to even out # patterns/class if required, 0 else
0             ! 1 to save data to a new file, 0 else

    Here, "standard form" means IANS format; inputs followed 
    by the integer class id.
 c. Exit the DOS editor and observe the program running
 d. Go to the "Examine Program Output" option and press <ret>
 e. The program has counted the total number of training
    patterns or vectors and also the numbers of patterns per
    class.
 f. You can run this program on your own data. If it is not 
    in IANS form, use the "Manual Run" option.
