제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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- Pages.215-220
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- 1998
A Study on Optimal Fuzzy Identification by means of Hybrid Identification Algorithm
- Park, Byoung-Jun (Dept., of Control & Instrumentation Engineering Wonkwang University) ;
- Park, Chun-Seong (Dept., of Control & Instrumentation Engineering Wonkwang University) ;
- Oh, Sung-Kwun (Dept., of Control & Instrumentation Engineering Wonkwang University)
- 발행 : 1998.10.01
초록
In order to optimize fuzzy model, we use the optimal algorithm with a hybrid type in the identification of premise parameters and standard least square method in the identification of consequence parameters of a fuzzy model. The hybrid optimal identification algorithm is carried out using a genetic algorithm and improved complex method. Also, the performance index with weighting factor is proposed to achieve a balance between the insults of performance for the training and testing data. Several numerical examples are used to evaluate the performance of the proposed model.
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