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Comparison of radial basis function approximation techniques

Jean‐Louis Coulomb (Laboratoire d'Electrotechnique de Grenoble, France)
Avenir Kobetski (Laboratoire d'Electrotechnique de Grenoble, France)
Mauricio Caldora Costa (LMAG, SP, Brazil)
Yves Mare´chal (Laboratoire d'Electrotechnique de Grenoble, France)
Ulf Jo¨nsson (Department of Mathematics, Division of Optimizations and Systems Theory KTH, Stockholm, Sweden)
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Abstract

This paper compares three different radial basis function neural networks, as well as the diffuse element method, according to their ability of approximation. This is very useful for the optimization of electromagnetic devices. Tests are done on several analytical functions and on the TEAM workshop problem 25.

Keywords

Citation

Coulomb, J., Kobetski, A., Caldora Costa, M., Mare´chal, Y. and Jo¨nsson, U. (2003), "Comparison of radial basis function approximation techniques", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 22 No. 3, pp. 616-629. https://doi.org/10.1108/03321640310475074

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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