On general regression neural network in a nonstationary environment

Authors:
Yoichi Hayashi;Lena Pietruczuk
Affiliations:
Department of Computer Science, Meiji University, Tama-ku, Kawasaki, Japan;Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland
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

In this paper we present the method for estimation of unknown function in a time-varying environment. We study the probabilistic neural network based on the Parzen kernels combined with the recursive least square method. We present the conditions for convergence in probability and we discuss the experimental results.