Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A New Effective Learning Algorithm for a Neo Fuzzy Neuron Model

  • Yamakawa, Takeshi (Department of Control Engineering and Science Kyushu Institute of Technology) ;
  • Kusanagi, Hiroaki (TAKANO, LTD.) ;
  • Uchino, Eiji (Department of Control Engineering and Science Kyushu Institute of Technology) ;
  • Miki, Tsutomu (Department of Control Engineering and Science Kyushu Institute of Technology)
  • Published : 1993.06.01
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Abstract

This paper describes a neo fuzzy neuron which was produced by a fusion of fuzzy logic and neuroscience. Some learning algorithms are presented. The guarantee for the global minimum on the error-weight space is proved by a reduction to absurdity. Enhanced is that the learning speed of the neo fuzzy neuron exceeds 100,000 times of that of conventional multi-layer neural networks.

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