Acquisition of knowledge and automation of reasonings

Statistical pattern recognition based on probabilistic neural network with homogeneity testing

A. V. Savchenko

National Research University – Higher School of Economics in Nizhny Novgorod

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.

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