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Citation

Šimandl, M. and Hering, P. : Nonlinear parameter estimation of neural network by Gaussian sum . Proceedings of International Carpathian Control Conference , p. 401-404, Technical University of Košice, Košice, 2003.

Abstract

Aim of the paper is to describe a new approach for the neural network parameter estimation of a nonlinear stochastic system. The mathematical model of the system created by the multilayer perceptron neural network is based on measured data exclusively assuming no or only diminutive knowledge about physics of the system. The paraters called weights in neural networks are estimated by nonlinear estimation method using Gaussian sum approach. The new optimization approach yields better parameter estimates comparing to commonly used methods.

Detail of publication

Title: Nonlinear parameter estimation of neural network by Gaussian sum
Author: Šimandl, M. ; Hering, P.
Language: English
Date of publication: 26 May 2003
Year: 2003
Type of publication: Papers in proceedings of reviewed conferences
Title of journal or book: Proceedings of International Carpathian Control Conference
Page: 401 - 404
ISBN: 80-7099-509-2
Publisher: Technical University of Košice
Address: Košice
Date: 26 May 2003 - 29 May 2003
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Keywords

system identification, nonlinear stochastic system, neural network parameter estimation, Gaussian sum, multilayer perceptron neural network

BibTeX

@INPROCEEDINGS{SimandlM_2003_Nonlinearparameter,
 author = {\v{S}imandl, M. and Hering, P.},
 title = {Nonlinear parameter estimation of neural network by Gaussian sum},
 year = {2003},
 publisher = {Technical University of Ko\v{s}ice},
 journal = {Proceedings of International Carpathian Control Conference },
 address = {Ko\v{s}ice},
 pages = {401-404},
 ISBN = {80-7099-509-2},
 url = {http://www.kky.zcu.cz/en/publications/SimandlM_2003_Nonlinearparameter},
}