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From: "Adeel " <neoresearcher@gmail.com>
Newsgroups: comp.soft-sys.matlab
Subject: Re: Backpropagation Neural network Code problem
Date: Tue, 17 Mar 2009 03:46:01 +0000 (UTC)
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"Adeel "

Sir 
1. OK i will insert much more comments in the code.

2. You are right that the other layer is output layer, But I had two layers, because output layer had weights (plus bias) on them. Not to mention the activation function etc.

3. The name of this file is element wise, that is element by element every step, Just a precaution to safe guard against any malfunction or mistake in the matrix multiplication done by me. (Although i had created one file using matrix multiplication).

4. OK i agree i did not know that. Plus i did not know what "logarithmic sigmoid" is. Are u talking about bipolar sigmoid. ( I have not used tanh, I had used bipolar sigmoid.). In the book "Fundamentals of neural networks by laurene Fausett of pearson education" They had used for both layer the bipolar sigmoid. and according to the text they had converge the weight using the bipolar sigmoid as an activation function on both the layers. (unless i had understood it incorrectly. According to them they had solve the xor problem solution in binary representation, to get converge in 3000 epochs.. Mine never did).