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. Electronics Letters, 32 (7). pp. 671-673. ISSN 0013-5194 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
URI	https://reading-clone.eprints-hosting.org/id/eprint/17866
Item Type	Article
Refereed	Yes
Divisions	Science
Publisher	Institution of Engineering and Technology (IET)
Download/View statistics	View download statistics for this item