   Other Neural Nets:

  1.Functional link nets
  a. Initialize and train a functional link mapping network using 
      a fast training method.
  b. Test a data file using the weights saved in training.     
  c. Process a data file having no desired outputs.

  2.Piecsewise linear network.
  a. Initialize and train a modular mapping network using 
      a fast training method. Plots training error versus number of modulars.
  b. Test a data file using the weights saved in training.     
  c. Process a data file with or without desired outputs.
 
  3.Unsupervised learning algorithm
  a. Cluster a data file using K-Means Clustering whose initial
     cluster centers got by sequential leader algorithm. 
  b. Cluster a data file using Kohonen's Self-Organizing Feature Map
     with random initial cluster center.
  c. Classify a data file using clusters from K-Means or Self-Organizing 
     Map clustering. The number of the cluster to which each vector is
     closest is determined.
