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Simplification of Neuro-Fuzzy Models

  • Conference paper
Man-Machine Interactions

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 59))

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Abstract

The neuro-fuzzy system presented in the paper is a system with parameterized consequences implementing hierarchical partition of the input domain. The regions are described with attributes values. In this system not all attribute values must be used to constitute the region. The attributes of minor importance may be ignored. The results of experiments show that the simplified model have less parameters and can achieve better generalisation ability.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Krzysztof Simiński

Authors
  1. Krzysztof Simiński
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Krzysztof A. Cyran , Stanisław Kozielski , Urszula Stańczyk  & Alicja Wakulicz-Deja , ,  & 

  2. University of Manitoba, Winnipeg, Canada

    James F. Peters

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© 2009 Springer-Verlag Berlin Heidelberg

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Simiński, K. (2009). Simplification of Neuro-Fuzzy Models. In: Cyran, K.A., Kozielski, S., Peters, J.F., Stańczyk, U., Wakulicz-Deja, A. (eds) Man-Machine Interactions. Advances in Intelligent and Soft Computing, vol 59. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00563-3_27

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  • DOI: https://doi.org/10.1007/978-3-642-00563-3_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00562-6

  • Online ISBN: 978-3-642-00563-3

  • eBook Packages: EngineeringEngineering (R0)

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