Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Design of the Pattern Classifier using Fuzzy Neural Network

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  • Kim, Moon-Hwan (Dept. of Electrical and Electronic Eng., Yonsei Univ.) ;
  • Lee, Ho-Jae (Dept. of Electrical and Electronic Eng., Yonsei Univ.) ;
  • Joo, Young-Hoon (School of Electronic and Information Eng., Kunsan National Univ.) ;
  • Park, Jin-Bae (Dept. of Electrical and Electronic Eng., Yonsei Univ.)
  • 김문환 (연세대학교 전기전자공학과) ;
  • 이호재 (연세대학교 전기전자공학과) ;
  • 주영훈 (군산대학교 전자정보공학부) ;
  • 박진배 (연세대학교 전기전자공학과)
  • Published : 2003.07.21
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Abstract

In this paper, we discuss a fuzzy neural network classifier with immune algorithm. The fuzzy neural network classifier is constructed with the fuzzy classifier and the neural network classifier based on fuzzy rules. To maximize performance of classifier, the immune algorithm and the back propagation algorithm are used. For the generalized classification ability, the simulation results from the iris data demonstrate superiority of the proposed classifier in comparison with other classifier.

Keywords