DocumentCode
780893
Title
Integrated method for constructive training of radial basis function networks
Author
Oliveira, Adriano L I ; Melo, B.J.M. ; Meira, S.R.L.
Author_Institution
Polytech. Sch., Univ. of Pernambuco, Recife, Brazil
Volume
41
Issue
7
fYear
2005
fDate
3/31/2005 12:00:00 AM
Firstpage
429
Lastpage
430
Abstract
A method for improving the generalisation performance of constructive radial basis function (RBF) networks is proposed. Experiments using three image datasets are presented. The results show that the proposed method considerably improves performance of constructive RBF networks, outperforms multilayer perceptrons and AdaBoost and achieves comparable performance to support vector machines in these datasets.
Keywords
generalisation (artificial intelligence); learning (artificial intelligence); radial basis function networks; DDA algorithm; RBF networks; constructive training; dynamic decay adjustment algorithm; generalisation performance; image datasets; integrated method; radial basis function networks;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20057296
Filename
1421244
Link To Document