- 期刊
A Novel Radial Basis Function Neural Network Classifier with Centers Set by Cooperative Clustering
並列摘要
The selection of centers and widths has a strong influence on the performance of radial basis function neural network classifier. In this paper, a novel approach of clustering based on Fuzzy C-means clustering is proposed, which is called cooperative clustering, and use it for selection of centers of radial basis function neural network. Experimental results show that the performance of classification using our approach is better than radial basis function neural network.
被引用紀錄
Li, M. C. (2012). 自調式控制系統設計與應用 [doctoral dissertation, Yuan Ze University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0009-2801201415010821
延伸閱讀
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