Weak convergence of the parzen-type probabilistic neural network handling time-varying noise

Authors:
Lena Pietruczuk;Meng Joo Er
Affiliations:
Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland;School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Abstract

In this paper we study probabilistic neural networks based on the Parzen kernels. Weak convergence is established assuming time-varying noise. Simulation results are discussed in details.