대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1997년도 하계학술대회 논문집 B
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- Pages.739-742
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- 1997
퍼지 신경망 제어기의 구조 및 매개 변수 최적화
The Structure and Parameter Optimization of the Fuzzy-Neuro Controller
- Chang, Wook (Dept. of Electrical Eng. Yonsei Univ.) ;
- Kwon, Oh-Kook (Dept. of Electrical Eng. Yonsei Univ.) ;
- Joo, Young-Hoon (Dept. of Control & Instrumentation Eng., Kunsan Univ.) ;
- Yoon, Tae-Sung (Dept. of Electrical Eng., Changwon Univ.) ;
- Park, Jin-Bae (Dept. of Electrical Eng. Yonsei Univ.)
- 발행 : 1997.07.21
초록
This paper proposes the structure and parameter optimization technique of fuzzy neural networks using genetic algorithm. Fuzzy neural network has advantages of both the fuzzy inference system and neural network. The determination of the optimal parameters and structure of the fuzzy neural networks, however, requires special efforts. To solve these problems, we propose a new learning method for optimization of fuzzy neural networks using genetic algorithm. It can optimize the structure and parameters of the entire fuzzy neural network globally. Numerical example is provided to show the advantages of the proposed method.
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