한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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- Pages.977.1-1000
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- 1993
Learning Algorithms of Fuzzy Counterpropagation Networks
- Jou, Chi-Cheng (Department of Control Engineering National Chiao Tung Universtiy) ;
- Yih, Chi-Hsiao (Department of Control Engineering National Chiao Tung Universtiy)
- 발행 : 1993.06.01
초록
This paper presents a fuzzy neural network, called the fuzzy counterpropagation network, that structures its inputs and generates its outputs in a manner based on counterpropagation networks. The fuzzy counterpropagation network is developed by incorporating the concept of fuzzy clustering into the hidden layer responses. Three learning algorithms are introduced for use with the proposed network. Simulations demonstrate that fuzzy counterpropagation networks with the proposed learning algorithms work well on approximating bipolar and continuous functions.
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