대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1997년도 하계학술대회 논문집 B
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- Pages.390-393
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- 1997
유전 알고리듬을 이용한 퍼지신경망 모델링에 관한 연구
A Study on Fuzzy Neural Network Modeling Using Genetic Algorithm
- Kwon, Ok-Kook (Dept. of Electrical Eng., Yonsei Univ.) ;
- Chang, Wook (Dept. of Electrical Eng., Yonsei Univ.) ;
- Joo, Young-Hoon (Dept. of Control & Instrumentation Eng., Kunsan Univ.) ;
- Choi, Yoon-Ho (Dept. of Electronic Eng.. Kyonggi Univ.) ;
- Park, Jin-Bae (Dept. of Electrical Eng., Yonsei Univ.)
- 발행 : 1997.07.21
초록
Fuzzy logic and neural networks are complemetary technologies in the design of intelligent system. Fuzzy neural network(FNN) as an auto-tuning method is actually known to an excellent method for the adjustment of the fuzzy rule. However, this has a weak point, because the convergence to the optimum depends on the initial condition. In this paper we develop a coding format to determine a FNN model by chromosome in GA and present systematic approach to identify the parameters and structure of FNN. The proposed hybrid tuning method realizes to construct minimal and optimal structure of the fuzzy mode simultaneously and automatically. This paper shows effectiveness of the tuning system by simulations compared with conventional methods.
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