Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!helios!cs.tamu.edu
From: vu2jok@cs.tamu.edu (Jogen K Pathak)
Newsgroups: comp.ai.neural-nets
Subject: Neural Network Training
Message-ID: <6985@helios.TAMU.EDU>
Date: 30 Jul 90 20:29:46 GMT
Sender: usenet@helios.TAMU.EDU
Organization: Computer Science Department, Texas A&M University
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We are encountering problems while training the different paradigms , especially
Back - Propagation paradigm. The training is very time consuming and tedious.
Can anyone help to choose the training parameters' values that can
reduce the training sessions. We are working in pattern classification of moderate size.e.g 100 input attributes.

Any literature references also will be greatly appreciated.

Jogen and Rajan.