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최적화 응용을 위한 개선된 Hopfield 신경망 모델에 관한 연구
정영호,임영도 동아대학교 공과대학 부설 한국자원개발연구소 1993 硏究報告 Vol.17 No.1
Due to the rugged energy function of the original Hopfield networks, the output is usually one local minimum in the energy function. This paper presents and analysis on the location of local minima in Hopfield networks and discribes modified network architecture to eliminate local minima. This modified Hopfield networks has been successfully applied to the construction of analog-to-digital converter with optimal solutions. Experimental results on the voltage transfer chracteristics of data converter is presented.
Hopfield 모델을 이용한 PID 자기동조 제어기에 관한 연구
정영호,한진옥,임영도 동아대학교 공과대학 부설 한국자원개발연구소 1992 硏究報告 Vol.16 No.1
This paper design a pole placement PID self-tuning controller utilizing the method of a neural network in the plant parameter estimation. An algorithm based on least square optimization method, and shown here that a Hopfield network can be applied to least square estimation. The Plant constitute second order linear time invariant plant. The results compared obtained those method with conventional PID control method.