Paper

[Subhash Kak]

The following paper

   ON  GENERALIZATION  BY NEURAL NETWORKS

     by    Subhash C. Kak

Abstract: We report new results on the corner classification approach
to training feedforward neural networks. It is shown that a prescriptive
learning procedure where the weights are simply read off based on
the training data can provide adequate generalization. The paper also
deals with the relations between the number of separable regions and
the size of the training set for a binary data network. 

was recently presented at the Joint Conference on Information Science.

You may ftp the paper at the following address:

  ftp://gate.ee.lsu.edu/pub/kak/gen.ps