2012 | OriginalPaper | Chapter
On General Regression Neural Network in a Nonstationary Environment
Authors : Yoichi Hayashi, Lena Pietruczuk
Published in: Parallel Processing and Applied Mathematics
Publisher: Springer Berlin Heidelberg
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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.