ISSN 2071-8594

Russian academy of sciences

Editor-in-Chief

Gennady Osipov

A.V. Savchenko. Statistical pattern recognition based on probabilistic neural network with homogeneity testing

Abstract.

Statistical pattern recognition was reduced to the hypothesis test for homogeneity. The probabilistic neural network (PNN) modification was proposed to achieve its optimal decision in terms of minimum Bayes-risk. The comparative analysis' results of the proposed modification with an original PNN were presented in a problem of automatic author identification.

Keywords:

statistical pattern recognition, probabilistic neural network, hypothesis test for samples homogeneity, Kullback-Leibler minimum information discrimination principle.

PP. 45-56.

Full version of the article in pdf.

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