A Novel Radial Basis Function Neural Network Classifier with Centers Set By Cooperative Clustering

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