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Neural network basis function center selection using cluster analysis

Warwick, K., Mason, J. D. and Sutanto, E. L. (1995) Neural network basis function center selection using cluster analysis. In: Proceedings of the American Control Conference 1995. IEEE, pp. 3780-3781. ISBN 0780324455

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To link to this article DOI: 10.1109/ACC.1995.533845

Abstract/Summary

This paper deals with the selection of centres for radial basis function (RBF) networks. A novel mean-tracking clustering algorithm is described as a way in which centers can be chosen based on a batch of collected data. A direct comparison is made between the mean-tracking algorithm and k-means clustering and it is shown how mean-tracking clustering is significantly better in terms of achieving an RBF network which performs accurate function modelling.

Item Type:Book or Report Section
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:21668
Uncontrolled Keywords:basis function center selection, cluster analysis, convergence, function modelling, mean-tracking clustering, radial basis function networks
Publisher:IEEE

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