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Using genetic algorithms to estimate the optimum width parameter in radial basis function networks

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2 Author(s)
Kuo, L.E. ; Dept. of Chem. Eng., Clemson Univ., SC, USA ; Melsheimer, S.S.

Radial basis function (RBF) networks are an attractive tool for modeling dynamic systems for control purposes. This paper presents a new methodology to find the optimum width parameters in the RBF network model. This methodology, which combines genetic algorithms and the orthogonal least squares method, is described in detail. Finally, two examples illustrate the usefulness of this method.

Published in:

American Control Conference, 1994  (Volume:2 )

Date of Conference:

29 June-1 July 1994

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