Growing Compact RBF Networks Using a Genetic Algorithm

André da Motta Salles BarretoHelio J. C. BarbosaNelson F. F. Ebecken

A novel approach for applying Genetic Algorithms to the configuration of Radial Basis Function Networks is presented. A new crossover operator that allows for some control over the competing conventions problem is introduced. Besides it, a minimalist initialization scheme which tends to generate more parsimonious models is also presented. Finally, a reformulation of Generalized Cross-Validation criterion for model selection, making it more conservative, is discussed. The proposed model is submitted to a computational experiment in order to verify its effectiveness.

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