DocumentCode
354174
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
Volume
2
fYear
2000
fDate
2000
Firstpage
859
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.863353
Filename
863353
Link To Document