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

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3 Author(s)
Kiernan, L. ; Dept. of Cybern., Reading Univ., UK ; Mason, J.D. ; Warwick, K.

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

Published in:

Electronics Letters  (Volume:32 ,  Issue: 7 )