대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2000년도 하계학술대회 논문집 D
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- Pages.3007-3009
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- 2000
클러스터링 기법과 유전자 알고리즘에 의한 다중 퍼지 모델으 동정
The Identification of Multi-Fuzzy Model by means of HCM and Genetic Algorithms
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Park, Byoun-Jun
(School of Electrical and Electronic Engineering, Wonkwang Univ.) ;
- Lee, Su-Gu (School of Electrical and Electronic Engineering, Wonkwang Univ.) ;
- Oh, Sung-Kwun (School of Electrical and Electronic Engineering, Wonkwang Univ.) ;
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Kim, Hyun-Ki
(School of Electrical Engineering, Suwon Univ.)
- 발행 : 2000.07.17
초록
In this paper, we design a Multi-Fuzzy model by means of clustering method and genetic algorithms for a nonlinear system. In order to determine structure of the proposed Multi-Fuzzy model. HCM clustering method is used. The parameters of membership function of the Multi-Fuzzy are identified by genetic algorithms. We use simplified inference and linear inference as inference method of the proposed Multi-Fuzzy model and the standard least square method for estimating consequence parameters of the Multi-Fuzzy. Finally, we use some of numerical data to evaluate the proposed Multi-Fuzzy model and discuss about the usefulness.
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