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International Conference on Parallel Processing and Applied Mathematics

PPAM 2003: Parallel Processing and Applied Mathematics pp 641–649Cite as

On Designing of Neuro-Fuzzy Systems

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

This paper presents a new method to design the neuro-fuzzy systems. The procedure is composed of several separated techniques such as the WTA algorithm developed for fuzzy sets, learning from exceptions and the gradient learning for neuro-fuzzy systems. The main goal of the presented algorithm is to find the simplest neuro-fuzzy system which meets design requirements; the system should be built with the smallest number of elements. As the performance measure we take the mean square error or a number of mistakes in the classification. The alternative way based on the reduction of rules is also presented for comparison. The results of an experimental research are depicted for both methods.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Technical University of Czestochowa, Al. Armii Krajowej 36, 42-200, Czestochowa, Poland

    Robert Nowicki & Agata Pokropińska

  2. Department of Computer Science, Meiji University, Tama-ku, Kawasaki, 214-8571, Japan

    Yoichi Hayashi

Authors
  1. Robert Nowicki
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  2. Agata Pokropińska
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  3. Yoichi Hayashi
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Editor information

Editors and Affiliations

  1. Institute of Computational and Information Sciences, Czestochowa University of Technology,  

    Roman Wyrzykowski

  2. Computer Science Department, University of Tennessee, TN 37996-3450, Knoxville, USA

    Jack Dongarra

  3. Systems Research Institute, Polish Academy of Science, Warsaw, Poland

    Marcin Paprzycki

  4. Informatics & Mathematical Modeling, Technical University of Denmark, DK-2800, Lyngby, Denmark

    Jerzy Waśniewski

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© 2004 Springer-Verlag Berlin Heidelberg

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Nowicki, R., Pokropińska, A., Hayashi, Y. (2004). On Designing of Neuro-Fuzzy Systems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_84

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

  • eBook Packages: Springer Book Archive

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