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 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
URI	https://reading-clone.eprints-hosting.org/id/eprint/21668
Item Type	Book or Report Section
Refereed	Yes
Divisions	Science
Uncontrolled Keywords	basis function center selection, cluster analysis, convergence, function modelling, mean-tracking clustering, radial basis function networks
Publisher	IEEE
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