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Parallel Processing by Implication-Based Neuro-Fuzzy Systems

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Book cover Parallel Processing and Applied Mathematics (PPAM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2328))

Abstract

The system composed of various implication-based neuro-fuzzy networks in one parallel structure is proposed in this paper. Different phases of data processing are distinguished, i.e. learning, testing, and problem solving. A competetive learning of the neuro-fuzzy networks is employed. This learning method refers to the first layer, which is the same in every network. The system with fuzzy parameters of membership functions is also considered. In this case, the neuro-fuzzy architectures may be viewed as fuzzy inference neural networks with fuzzy parameters, and treated analogously to fuzzy neural networks.

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Author information

Authors and Affiliations

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

    Danuta Rutkowska & Robert Nowicki

  2. Department of Computer Science, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, 214-8571, Japan

    Yoichi Hayashi

Authors
  1. Danuta Rutkowska
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  2. Robert Nowicki
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  3. Yoichi Hayashi
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computer Science, Technical University of Czestochowa, Dabrowskiego 73, 42-200, Czestochowa, Poland

    Roman Wyrzykowski

  2. Computer Science Department, University of Tennessee, 122 Volunteer Blvd, Knoxville, TN, 37996-3450, USA

    Jack Dongarra

  3. Computer Science Department, Oklahoma State University, 700 N. Greenwood Ave., Tulsa, OK, 74106, USA

    Marcin Paprzycki

  4. DTU, UNI-C, Danish Computing Centre for Research and Education, Bldg. 304, 2800, Lyngby, Denmark

    Jerzy Waśniewski

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© 2002 Springer-Verlag Berlin Heidelberg

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Rutkowska, D., Nowicki, R., Hayashi, Y. (2002). Parallel Processing by Implication-Based Neuro-Fuzzy Systems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2001. Lecture Notes in Computer Science, vol 2328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48086-2_66

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  • DOI: https://doi.org/10.1007/3-540-48086-2_66

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43792-5

  • Online ISBN: 978-3-540-48086-0

  • eBook Packages: Springer Book Archive

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