Robust initialisation of Gaussian radial basis function networks using partitioned k-means clusteringKiernan, L., Mason, J. D. and Warwick, K. (1996) Robust initialisation of Gaussian radial basis function networks using partitioned k-means clustering. Electronics Letters, 32 (7). pp. 671-673. ISSN 0013-5194 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: 10.1049/el:19960464 Abstract/SummaryRadial basis function networks can be trained quickly using linear optimisation once centres and other associated parameters have been initialised. The authors propose a small adjustment to a well accepted initialisation algorithm which improves the network accuracy over a range of problems. The algorithm is described and results are presented.
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