퍼지 균등화에 의한 새로운 퍼지 모델링 방법

New Fuzzy Modeling Method by Fuzzy Equalization

  • 곽근창 (충북대학교 전기공학과 대학원) ;
  • 신동철 (충북대학교 전기공학과 대학원) ;
  • 송창규 (충북대학교 전기공학과 대학원) ;
  • 김주식 (충북대학교 전기공학과 대학원) ;
  • 유정웅 (충북대학교 전기공학과 대학원)
  • Kwak, K.C. (Dept. of Electrical Engineering, Chungbuk National University) ;
  • Shin, D.C. (Dept. of Electrical Engineering, Chungbuk National University) ;
  • Song, C.K. (Dept. of Electrical Engineering, Chungbuk National University) ;
  • Kim, J.S. (Dept. of Electrical Engineering, Chungbuk National University) ;
  • Ryu, J.W. (Dept. of Electrical Engineering, Chungbuk National University)
  • 발행 : 1999.07.19

초록

In this paper we proposed a new fuzzy modeling method by Fuzzy Equalization(FE) based on probability theory. FE concerns a process of building membership function without learning using back-propagation of neural network. Therefore, we compare the proposed method with Adaptive Network-based Inference System based on hybrid learning. Finally, we will show better performance and its usefulness for a new fuzzy modeling to automobile mpg prediction.

키워드