Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Design of Multi-layer Fuzzy Neural Networks

다층 퍼지뉴럴 네트워크의 설계

  • Park, Byoung-Jun (Department of Electrical Electronic and Information Engineering, Won-Kwang University) ;
  • Park, Keon-Jun (Department of Electrical Electronic and Information Engineering, Won-Kwang University) ;
  • Oh, Sung-Kwun (Department of Electrical Electronic and Information Engineering, Won-Kwang University)
  • Published : 2004.04.01
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Abstract

In this study, a new architecture and comprehensive design methodology of genetically optimized Multi-layer Fuzzy Neural Networks (gMFNN) are introduced and a series of numeric experiments are carried out. The gMFNN architecture results from a synergistic usage of the hybrid system generated by combining Fuzzy Neural Networks (FNN) with Polynomial Neural Networks (PNN), FNN contributes to the formation of the premise part of the overall network structure of the gMFNN. The consequence part of the gMFNN is designed using PNN.

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