Exact solution and learning of binary classification problems with simple perceptrons

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

    Research output: Book/ReportReportAcademic

    227 Downloads (Pure)

    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

    Fingerprint

    Dive into the research topics of 'Exact solution and learning of binary classification problems with simple perceptrons'. Together they form a unique fingerprint.

    Cite this