Modified backpropagation algorithm for fast learning in neural networks

Electronics Letters （1990）

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摘要

A fast learning rule for artificial neural systems which is based on modifications to a backpropagation algorithm is described. The rule minimises the error function along the direction of the gradient and backpropagates the error pattern according to a constant error energy approach.

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关键词

adaptive systems,neural nets,virtual machines,artificial neural systems,backpropagation algorithm,constant error energy approach,fast learning rule

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