Centre Selection for Radial Basis Function Networks

  • K. Warwick
  • J. D. Mason
  • E. L. Sutanto


This paper is concerned with radial basis function neural networks. A new method is described by which means radial basis function centres can be selected. The method is based on a mean tracking clustering algorithm and it is shown how the approach provides a good procedure for radial basis function centre selection. Results are given which indicate how the method realises a network with excellent approximation properties.


Radial Basis Function Radial Basis Function Neural Network Radial Basis Function Network Search Window Radial Basis Function Centre 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • K. Warwick
    • 1
  • J. D. Mason
    • 1
  • E. L. Sutanto
    • 1
  1. 1.Department of CyberneticsUniversity of ReadingReadingUK

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