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
fDate :
3/31/2005 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20057296
