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

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Notes on Conventional Neuro-Fuzzy Learning Algorithms

  • Shi, Yan (School of Engineering , Kyushu Tokai University) ;
  • Mizumoto, Masaharu (Division of Information and Computer Sciences, Osaka Electro-Communication University)
  • Published : 1998.06.01
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Abstract

In this paper, we try to analyze two kinds of conventional neuro-fuzzy learning algorithms, which are widely used in recent fuzzy applications for tuning fuzzy rules, and give a summarization of their properties. Some of these properties show that uses of the conventional neuro-fuzzy learning algorithms are sometimes difficult or inconvenient for constructing an optimal fuzzy system model in practical fuzzy applications.

Keywords