Automatic Generation of RBF Networks

Abstract

Learning can be viewed as mapping from an input space to an output space. Examples of these mappings are used to construct a continuous function that approximates the given data and generalizes for intermediate instances. Radial basis function (RBF) networks are used to formulate this approximating function. A novel method is introduced that automatically… (More)

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Cite this paper

@inproceedings{Mukherjee1995AutomaticGO, title={Automatic Generation of RBF Networks}, author={Shayan Mukherjee and Shree K. Nayar}, year={1995} }