Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Fuzzy Neural Network with Rule Generaton Nased on Back-Propagation Algorithm

학습기능을 갖는 자동 규칙 생성 퍼지 신경망

  • 정재경 (서울대학교 전기공학과) ;
  • 이동윤 (서울대학교 전기공학과) ;
  • 정기욱 (서울대학교 전기공학과) ;
  • 김완찬 (서울대학교 전기공학과)
  • Published : 1996.04.01
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Abstract

This paper presetns a new fuzzy neural network for fuzzy modeling.The fuzzy neural network is composed of 4 layers and then odes of each layer represent the each step of the if-then fuzzy inference. A heuristic based on the back-propagation algorithm is proposed to ajdust the parameters of the fuzzy nerual network. We prove the feasibility of the network using the experiments on modeling a nonlinear mathematical system and the comparison with previous research.

Keywords