제어로봇시스템학회:학술대회논문집
- 1997.10a
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- Pages.442-445
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- 1997
Fuzzy neural network modeling using hyper elliptic gaussian membership functions
초타원 가우시안 소속함수를 사용한 퍼지신경망 모델링
Abstract
We present a hybrid self-tuning method of fuzzy inference systems with hyper elliptic Gaussian membership functions using genetic algorithm(GA) and back-propagation algorithm. The proposed self-tuning method has two phases : one is the coarse tuning process based on GA and the other is the fine tuning process based on back-propagation. But the parameters which is obtained by a GA are near optimal solutions. In order to solve the problem in GA applications, it uses a back-propagation algorithm, which is one of learning algorithms in neural networks, to finely tune the parameters obtained by a GA. We provide Box-Jenkins time series to evaluate the advantage and effectiveness of the proposed approach and compare with the conventional method.