한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 2004년도 춘계학술대회 학술발표 논문집 제14권 제1호
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- Pages.307-310
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- 2004
다층 퍼지뉴럴 네트워크의 설계
Design of Multi-layer Fuzzy Neural Networks
- 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)
- 발행 : 2004.04.01
초록
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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