Neural network basis function center selection using cluster analysisWarwick, 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 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1109/ACC.1995.533845 Abstract/SummaryThis 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.
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