A fast learning algorithm for feedforward neural networks is described. This algorithm is based on modifications to the backpropagation algorithm. The learning rate and momentum coefficient are adapted according to the coefficient of correlation between the downhill gradient and the previous weight update.
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Yam et al. (1993) studied this question.
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