Title :
A training method for improving the generalization performance of radial basis function networks
Author :
Shaojie, Duan ; Chao, He ; Lixin, Xu ; Dongsheng, Ma
Author_Institution :
Dept. of Autom. Control, Beijing Inst. of Technol., China
Abstract :
To improve the generalization performance of RBF networks, samples having been divided into a training set and an evaluating set, a novel training algorithm is proposed for adjusting the width of the center point set based on the standard deviation of evaluating set error. Simulation results show this method is effective in improving the generalization performance of RBF networks. The performance of generalization of a RBF network can be remarkably improved by using this training method
Keywords :
generalisation (artificial intelligence); learning (artificial intelligence); radial basis function networks; center point set; evaluating set error; generalization performance; standard deviation; training method; Error correction; Radial basis function networks;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863353
