Weak convergence of the recursive parzen-type probabilistic neural network in a non-stationary environment

Authors:
Lena Pietruczuk;Jacek M. Zurada
Affiliations:
Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland;Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY
Venue:
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I
Year:
2011

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Abstract

A recursive version of general regression neural networks is presented. Weak convergence is proved in a case of nonstationary noise. Experimental results are given.