퍼지 균등화와 유전알고리즘을 이용한 퍼지 모델링

Fuzzy Modeling Using Fuzzy Equalization and GA

  • 김승석 (충북대학교 전기공학과) ;
  • 고현주 (충북대학교 전기공학과) ;
  • 전병석 (충북대학교 전기공학과) ;
  • 유정웅 (충북대학교 전기공학과)
  • Kim, S.S. (School of Electrical and Electronic Engineering, ChungBuk National University) ;
  • Go, H.J. (School of Electrical and Electronic Engineering, ChungBuk National University) ;
  • Jun, B.S. (School of Electrical and Electronic Engineering, ChungBuk National University) ;
  • Ryu, J.W. (School of Electrical and Electronic Engineering, ChungBuk National University)
  • 발행 : 2001.07.18

초록

In this paper, we proposed a method of modeling a system using Fuzzy Equalization(FE) and Genetic Algorithm(GA). The initial model is constructed using FE. The antecedent parameters and the rules in fuzzy logic are tuned by GA. The proposed system minimizes the modeling error and the size of structure. The process of building membership functions using PDF(Probability Density Function) and GA tunes the antecedent parameter and rules for minimizing the error and structure. The usefulness of proposed method is demonstrated by applying to Box-Jenkins furnace data.

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