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Multi-layer radial basis function networks: an extension to the radial basis function

Craddock, R. J. and Warwick, K. (1996) Multi-layer radial basis function networks: an extension to the radial basis function. In: IEEE International Conference on Neural Networks 1996, 3-6 Jun 1996, Washington DC, USA, pp. 700-705.

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Official URL: http://dx.doi.org/10.1109/ICNN.1996.548981

Abstract/Summary

This paper presents the initial research carried out into a new neural network called the multilayer radial basis function network (MRBF). The network extends the radial basis function (RBF) in a similar way to that in which the multilayer perceptron extends the perceptron. It is hoped that by connecting RBFs together in a layered fashion, an equivalent increase in ability can be gained, as is gained from using MLPs instead of single perceptrons. The results of a practical comparison between individual RBFs and MRBF's are also given.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:21641
Uncontrolled Keywords:multilayer radial basis function network
Additional Information:Proceedings ISBN: 0780332105

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