Exact solution and learning of binary classification problems with simple perceptrons

J.A. Matla, H.P. Stehouwer, J. Wessels

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Abstract

This paper discusses the effect of response functions on the performance of multi-layered perceptrons. It will be shown that the N-bit parity problem, and even any binary classification problem, is exactly solvable with a simple perceptron using the right (non-monotonic) response function. We discuss problems which arise, and present some results, when using non-monotonic response functions together with learning. As a new approach we introduce function-learning to adjust response functions during the learning process. Keywords: Neural networks, multi-layer perceptron, N-bit parity, response functions, pattern classification, function-learning.
Original languageEnglish
Place of PublicationEindhoven
PublisherTechnische Universiteit Eindhoven
Number of pages19
Publication statusPublished - 1994

Publication series

NameMemorandum COSOR
Volume9410
ISSN (Print)0926-4493

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