신경회로망을 이용한 전문가 시스템 개발에 관한 연구

A Study on the Development of Expert System Using Artificial Neural Net

  • 박영문 (서울대학교 전기공학과) ;
  • 윤지호 (서울대학교 전기공학과) ;
  • 손동욱 (서울대학교 전기공학과)
  • Park, Young-Moon (Seoul National Univ. Dept. of Electrical Engineering) ;
  • Yoon, Ji-Ho (Seoul National Univ. Dept. of Electrical Engineering) ;
  • Son, Dong-Wook (Seoul National Univ. Dept. of Electrical Engineering)
  • 발행 : 1991.07.18

초록

The most difficult, time-consuming, and expensive task in building an ES (Expert System) is constructing and debugging its knowledge base. Our goals are to eliminate the knowledge-acquisition bottle-neck for ES creation in data rich situations and to make an ANN (Artificial Neural Network) model behave as much as possible like an ES. The ANN ES has many benifits: Once it has been learned, inference time is very short. It can provide a reasonable conclusion for insufficient input data. But it has also several demerits : Learning time is too long to converge. We cannot guarantee the convergence of its weights. We introduce an ANN ES model which makes most of its benefits and compensates its shortcomings.

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