Praveen Jesudhas

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A batch training algorithm for feed-forward networks is proposed which uses Newton's method to estimate a vector of optimal learning factors, one for each hidden unit. Backpropagation, using this learning factor vector, is used to modify the hidden unit's input weights. Linear equations are then solved for the network's output weights. Elements of the new(More)
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