제어로봇시스템학회:학술대회논문집
- 1996.10a
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- Pages.189-192
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- 1996
Automatic GA fuzzy modeling with fine tuning method
- Son, You-Seok (Dept. of Electrical Eng., Yonsei Univ.) ;
- Chang, Wook (Dept. of Electrical Eng., Yonsei Univ.) ;
- Park, Jin-Bae (Dept. of Electrical Eng., Yonsei Univ.) ;
- Joo, Young-Hoon (Dept. of Control and Instrumentation Eng. Kunsan Univ.)
- Published : 1996.10.01
Abstract
This paper presents a systematic approach to identify a linguistic fuzzy model for a multi-input and single-output complex system. Such a model is composed of fuzzy rules, and its output is inferred by the simplified reasoning. The structure and membership function parameters for a fuzzy model are automatically and simultaneously identified by GA (Genetic Algorithm). After GA search, optimal parameters for the fuzzy model are finely tuned by a gradient method. A numerical example is provided to evaluate the feasibility of the proposed approach. Comparison shows that the suggested approach can produce the linguistic fuzzy model with higher accuracy and a smaller number of rules than the ones achieved previously in other methods.
Keywords