Title :
The Training of Radial Basis Function Network Classifier with Cooperative Clustering
Author :
Mu, Shaomin ; Tian, ShengFeng ; Yin, Chuanhuan
Author_Institution :
Beijing Jiaotong Univ., Beijing
Abstract :
The selection of centers and widths parameter has a strong influence on the performance of radial basis function neural network. In this paper, we present a novel approach of clustering, which we called cooperative clustering, and use it for selection of centers of radial basis function neural network. The experimental results are given to show that the approach could not only effectively improve the training speed, but also keep classification accuracies.
Keywords :
learning (artificial intelligence); pattern clustering; radial basis function networks; cooperative clustering; radial basis function network classifier; radial basis function neural network; training speed; Agricultural engineering; Agriculture; Clustering algorithms; Computer networks; Image analysis; Neural networks; Radial basis function networks; Support vector machine classification; Support vector machines; Time series analysis;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.588
