This link has been bookmarked by 46 people . It was first bookmarked on 05 May 2006, by Francisca Munoz.
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Neal Aggarwal"Fundamentals of Neural Networks" - good intro article and jumping off points
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feedforward: i.e. loop-free - generally connections are allowed from the input layer to the first (and possibly only) hidden layer; from the first hidden layer to the second,..., and from the last hidden layer to the output layer.
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int (8) the network has finished learning. Since (D-Y)=0 for all patterns, the weights cease adapting. Single perceptrons are limited in what they can learn:
If we have two inputs, the decision surface is a line. ... and its equation is
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An Introduction to Neural Networks
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