Rbf Networks Via Genetic Algorithms Model Selection
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1. Model Selection of RBF Networks Via Genetic Algorithms
One of the main obstacles to the widespread use of artificial neural networks is the difficulty of adequately defining values for their free parameters. This work discusses how Radial Basis Function (RBF) neural networks can have their free parameters defined by Genetic Algorithms (GAs). For such, it firstly presents an overall view of the problems involved
Publicado em: 2003