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http://dx.doi.org/10.5391/JKIIS.2010.20.5.672

Fuzzy Neural Network Using a Learning Rule utilizing Selective Learning Rate  

Baek, Young-Sun (대덕대학 컴퓨터웹정보과)
Kim, Yong-Soo (대전대학교 컴퓨터공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.20, no.5, 2010 , pp. 672-676 More about this Journal
Abstract
This paper presents a learning rule that weights more on data near decision boundary. This learning rule generates better decision boundary by reducing the effect of outliers on the decision boundary. The proposed learning rule is integrated into IAFC neural network. IAFC neural network is stable to maintain previous learning results and is plastic to learn new data. The performance of the proposed fuzzy neural network is compared with performances of LVQ neural network and backpropagation neural network. The results show that the performance of the proposed fuzzy neural network is better than those of LVQ neural network and backpropagation neural network.
Keywords
선택적 학습률;결정 경계선;학습 법칙;퍼지 신경회로망;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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