IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
Paper
Size-Reducing RBF Network and Its Application to Control Systems
Shinji ItohJunichi MurataKotaro Hirasawa
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2003 Volume 123 Issue 2 Pages 338-344

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Abstract
In this paper, a new approach is proposed to determine the structure of radial basis function (RBF) networks. This approach starts with an enough number of hidden nodes and reduces the number of nodes in the course of learning. The algorithm can be employed in the problems where only the performance index of the network output is given, as well as in the supervised training problems where the desired output values are available. Also, it is applicable to either of classification problems and function approximation problems.
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© 2003 by the Institute of Electrical Engineers of Japan
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