Feature Selection Using Radial Basis Function Networks

Abstract

A new method of feature selection using a Radial Basis Function network is described. The parameters of the radial basis function network, in general, form a compact description of class structures. The intraclass and interclass distances are expressed in terms of the parameters of the trained network, and two different feature evaluation indices are… (More)
DOI: 10.1007/s005210050035

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