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An Implementation of the Controller for Intelligent Process System using Neural Network  

김관형 (동명정보대학교 공과대학 컴퓨터공학과)
강성인 (동명정보대학교 공과대학 컴퓨터공학과)
이태오 (동명정보대학교 공과대학 컴퓨터공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.8, no.6, 2004 , pp. 1135-1141 More about this Journal
Abstract
In this study, this system makes use of the analog infrared rays sensor and converts the feature of fish outline when sensor is operating with CPU(80C196KC). Then, after signal processing, this feature is classified a special feature and a outline of fish by using the neural network, one of the artificial intelligence scheme. This neural network classifies fish pattern of very simple and short calculation. This has linear activation function and the error back propagation is used as a teaming algorithm. And the neural network is learned in off-line process. Because an adaptation period of neural network is too long when random initial weights are used, off-line teaming is induced to decrease the progress time.
Keywords
퍼지 모델링;TSK 퍼지 모델;비선형 시스템;신경회로망;
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