적응 퍼지-신경회로망을 이용한 컨테이너 크레인의 제어

In this paper, we present a adaptive fuzzy neural network controller which unifies both fuzzy logic and multi layered feedforward neural networks. In the proposed adaptive fuzzy neural network controller, the parameters of membership functions in the antecedent part of fuzzy inference rules are identified by using the error backpropagation algorithm as a learning rule, while the coefficients of the linear combination of input variables in the consequent part are determined by using the least squared estimation method. Finally, the effectiveness of the proposed controller is verified through computer simulation of a container crane system.