论文信息 - Using genetic algorithms to estimate the optimum width parameter in radial basis function networks

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

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.

S. S. Melsheimer | L. E. Kuo | L. Kuo | S.S. Melsheimer

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