Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1997.07b
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- Pages.379-382
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- 1997
Hybrid Self-Tuning Method for the Fuzzy Inference System Using Hyper Elliptic Gaussian Membership Function
초타원 가우시안 소속함수를 사용한 퍼지 추론 시스템의 하이브리드 자기 동조 기법
- 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.) ;
- Park, Jin-Bae (Dept. of Electrical Eng., Yonsei Univ.)
- Published : 1997.07.21
Abstract
We present a hybrid self-tuning method using hyper elliptic Gaussian membership function. The proposed method applies a GA to identify the structure and the parameters of a fuzzy inference system. The parameters obtained by a GA, however, are near optimal solutions. So we solve this problem through a backpropagation-type gradient method. It is called GA hybrid self-tuning method in this paper. We provide a numerical example to evaluate the advantage and effectiveness of the proposed approach and compare with the conventional method.
Keywords