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On Automatic Design of Neuro-fuzzy Systems

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Artificial Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6113))

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Abstract

In this paper we propose a new approach for automatic design of neuro-fuzzy systems. We apply evolutionary strategy to determine the number of rules, number of antecedents, number of inputs, and number of discretization points of neuro-fuzzy systems. Proper selection of these elements influences the accuracy of the system and its interpretability. The algorithm has been tested using well-known classification benchmarks.

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References

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Author information

Authors and Affiliations

  1. Academy of Management (SWSPiZ), Institute of Information Technology, Poland

    Krzysztof Cpałka & Leszek Rutkowski

  2. Department of Computer Engineering, Czestochowa University of Technology, Poland

    Krzysztof Cpałka & Leszek Rutkowski

  3. School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore

    Meng Joo Er

Authors
  1. Krzysztof Cpałka
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  2. Leszek Rutkowski
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  3. Meng Joo Er
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź,, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics,, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA,  

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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Cpałka, K., Rutkowski, L., Er, M.J. (2010). On Automatic Design of Neuro-fuzzy Systems. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_6

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  • DOI: https://doi.org/10.1007/978-3-642-13208-7_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13207-0

  • Online ISBN: 978-3-642-13208-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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