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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2008: Artificial Intelligence and Soft Computing – ICAISC 2008 pp 405–413Cite as

Evolutionary Methods to Create Interpretable Modular System

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5097))

Abstract

In this paper we present an evolutionary method to create an interpretable modular system. It consists of many neuro-fuzzy structures which are merged using a very popular algorithm called AdaBoost. As the alternative to the backpropagation method to train all models a special evolutionary algorithm has been used based on the evolutionary strategy (μ, λ).

This work was partly supported by the Foundation for Polish Science (Professorial Grant 2005-2008) and Polish Ministry of Science and Higher Education (Special Research Project 2006-2009, Polish-Singapore Research Project 2008-2010, Research Project 2008-2010).

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Authors and Affiliations

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

    Marcin Korytkowski, Marcin Gabryel & Leszek Rutkowski

  2. The Professor Kotarbinski Olsztyn Academy of Computer Science and Management, ul. Artyleryjska 3c, 10-165, Olsztyn, Poland

    Marcin Korytkowski, Marcin Gabryel & Stanislaw Drozda

  3. Department of Artificial Intelligence, WSHE University in Łódź, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Leszek Rutkowski

  4. The Faculty of Mathematics and Computer Sciences, University of Warmia and Mazury in Olsztyn, ul. Zolnierska 14, 10-561, Olsztyn, Poland

    Stanislaw Drozda

Authors
  1. Marcin Korytkowski
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  2. Marcin Gabryel
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  3. Leszek Rutkowski
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  4. Stanislaw Drozda
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Editor information

Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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© 2008 Springer-Verlag Berlin Heidelberg

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Korytkowski, M., Gabryel, M., Rutkowski, L., Drozda, S. (2008). Evolutionary Methods to Create Interpretable Modular System . In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_40

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69572-1

  • Online ISBN: 978-3-540-69731-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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