A rationalized error back-propagation learning algorithm

Abstract

A method is proposed for learning in multilayer perceptrons. It includes self-adapting features that make it suited to deal with a variety of problems without the need for parameter readjustments. The validity of the approach is benchmarked for two types of problems. The first benchmark is performed for the topologically complex parity problem. The number… (More)

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