대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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신경망을 이용한 전문가 시스템의 구현

An Implementation of Connectionist Expert System

  • 권희선 (한림대학교 전자계산학과) ;
  • 김백섭 (한림대학교 전자계산학과) ;
  • 권호열 (강원대학교 전자공학과) ;
  • 이상희 (강원대학교 전자공학과)
  • Kwon, H.S. (Dept. of Computer Science, Hallym Univ.) ;
  • Kim, B.S. (Dept. of Computer Science, Hallym Univ.) ;
  • Kwon, H.Y. (Dept. of Electronics Engineering, Kangwon National Univ.) ;
  • Lee, S.H. (Dept. of Electronics Engineering, Kangwon National Univ.)
  • 발행 : 1992.07.23
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초록

To resolve the knowledge acquisition bottleneck in the expert systems, the connectionist expert systems have been proposed, which facilitate learning capability of neural networks. This paper is to modify Gallant's connectionist expert network so that it can be applied to more general problems : 1) The hidden nodes are added between the input nodes and an output node, so that the back propagation learning algorithm is used instead of perception based Pocket algorithm. 2) Inference engine is thus modified by modeling that a node may have uncertainties due to unknown inputs.

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