Improving constructive training of RBF networks through selective pruning and model selection

This letter proposes a constructive training method for radial basis function networks. The proposed method is an extension of the dynamic decay adjustment (DDA) algorithm, a fast constructive algorithm for classification problems. The proposed method, which is based on selective pruning and DDA mod...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 64; pp. 537 - 541
Main Authors:	Oliveira, Adriano L.I., Melo, Bruno J.M., Meira, Silvio R.L.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2005
Subjects:	Classification Model complexity Neural network RBF network RBF network Neural network Model complexity Classification
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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