论文信息 - RBF Networks from Boosted Rules

RBF Networks from Boosted Rules

A novel method for constructing RBF networks is presented. It is based on Boosting, an ensemble method that combines several classifiers obtained using any other classification method. If the classifiers that are going to be combined by boosting are radialbasis functions, then the boosting method produces a RBF network as result. The method for constructing a RBF is based on obtaining a decision rule and using the attributes and values that appear in the rule for selecting the centers and radii of the RBF.

Juan José Rodríguez Diez | Carlos J. Alonso | Vanesa Paniego | Leticia Villar

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