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Evolutionary Design of Fuzzy Systems

  • Yaochu Jin
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 112)

Abstract

Neurofuzzy systems are adaptive fuzzy systems that are able to learn using learning methods developed in the field of neural networks. Besides, neurofuzzy systems are assumed to have all important features of fuzzy systems, i.e., the knowledge represented by a neurofuzzy system should be transparent to human users.

Keywords

Mutual Information Fuzzy System Fuzzy Rule Hide Node Fuzzy Controller 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2003

Authors and Affiliations

  • Yaochu Jin
    • 1
  1. 1.Future Technology ResearchHonda R&D Europe GmbHOffenbach/MainGermany

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