Optimising the widths of radial basis functions

Proceedings - Brazilian Symposium on Neural Networks, SBRN

Volumn , Issue , 1998, Pages 26-29

  Orr, Mark ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; FUNCTIONS; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS;

BASIS FUNCTIONS; ESTIMATION FORMULAE; LOCAL MINIMUMS; MODEL SELECTION CRITERIA; OPTIMISATIONS; PRACTICAL PROBLEMS; RADIAL BASIS FUNCTIONS; REGULARISATION;

GLOBAL OPTIMIZATION;

EID: 85042234389     PISSN: 15224899     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SBRN.1998.730989     Document Type: Conference Paper

References (6)

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4. J. Moody. The eective number of parameters: An analysis of generalisation and regularisation in non-linear learning systems. In J. Moody, S. Hanson, and R. Lippmann, editors, Neural Information Processing Systems 4, pages 847-854. Morgan Kaufmann, San Mateo CA, 1992
5. M. Orr. Regularisation in the selection of radial basis function centres. Neural Computation, 7(3):606-623, 1995
6. M. Orr. An EM algorithm for regularised radial ba-sis function networks. In International Conference on Neural Networks and Brain, Beijing, China, October 1998