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  HomeContents of Chinese Journal of Mechanical Engineering 2005 No.5KNOWLEDGE EXPRESS AND INTEGRATED REASONING MECHANISM IN INTELLIGENT SYSTEM
KNOWLEDGE EXPRESS AND INTEGRATED REASONING MECHANISM IN INTELLIGENT SYSTEM

 

Wu Kui  Li Runfang  Liu Jinghao

( State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044)

 

Abstract: For knowledge express and learning, A novel conception of graphical topological network knowledge express based on neural network and fuzz logic rules and relative knowledge learning method are put forward. It can express knowledge neatly, form knowledge warehouse conveniently and straight, make for learn from intelligent system. Based on the reciprocity of expert system, fuzz logic and neural network etc. in common use in intelligent reasoning, and combined general knowledge pool of graphical topological network knowledge express, the integrated reasoning model are brought forward, it can form better reasoning function, apply and deal with intelligent system availably. This achieved in practice of device status monitoring and diagnosis.

Key words: Intelligent system  Fuzz logic  Neural network  Expert system  Monitoring and diagnosis

CLC No: TP18  TP273

国家“十五”863计划资助项目(2001AA423200). Received 20040826, received in revised form 20041101

  

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