Implementation of the Controller for intelligent Process System Using Neural Network

신경회로망을 이용한 지능형 가공 시스템 제어기 구현

  • 손창우 (한국 해양대학교 전자통신공학과) ;
  • 김관형 (한국 해양대학교 전자통신 공학과) ;
  • 김일 (동부산 대학교 멀티미디어정보과) ;
  • 탁한호 (진주 산업대학교 전자공학과) ;
  • 이상배 (한국 해양대학교 전자통신 공학과)
  • Published : 2000.11.01

Abstract

In this paper, this system makes use of the analog infrered rays sensor and converts the feature of fish analog signal 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 backpropagation is used as a learning algorithm. And the neural network is learned in off-line process. Because an adaptation period of neural network is too long time when random initial weights are used, off-line learning is induced to decrease the progress time. We confirmed this method has better performance than somewhat outdated machines.

Keywords