한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
- /
- Pages.391-394
- /
- 1998
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)
- 발행 : 1998.06.01
초록
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.