文章詳目資料

International Journal of Fuzzy Systems EISCIEScopus

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篇名 A Novel Radial Basis Function Neural Network Classifier with Centers Set By Cooperative Clustering
卷期 9:4
作者 Shaomin MuShengfeng TianChuanhuan Yin
頁次 205-211
關鍵字 Cooperative ClusteringRBF neural net-workClassificationEISCISCIEScopus
出刊日期 200712

中文摘要

英文摘要

  The selection of centers and widths has a strong in-fluence on the performance of radial basis function neural network classifier. In this paper, a novel ap-proach of clustering based on Fuzzy C- means clus-tering is proposed, which is called cooperative clus-tering, and use it for selection of centers of radial ba-sis function neural network. Experimental results show that the performance of classification using our approach is better than radial basis function neural network.

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