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Robust initialisation of Gaussian radial basis function networks using partitioned k-means clustering

Kiernan, L., Mason, J. D. and Warwick, K. (1996) Robust initialisation of Gaussian radial basis function networks using partitioned k-means clustering. Electronic Letters, 32 (7). pp. 671-673. ISSN 0013-5194

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To link to this article DOI: 10.1049/el:19960464

Abstract/Summary

Radial 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.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:17866
Publisher:Institution of Engineering and Technology

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