Publikace
Detail publikace
Citace
p. 401-404, Technical University of Košice, Košice, 2003. : Nonlinear parameter estimation of neural network by Gaussian sum . Proceedings of International Carpathian Control Conference ,
Abstrakt
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 publikace
Název: | Nonlinear parameter estimation of neural network by Gaussian sum |
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Autor: | Šimandl, M. ; Hering, P. |
Jazyk publikace: | anglicky |
Datum vydání: | 26.5.2003 |
Rok vydání: | 2003 |
Typ publikace: | Stať ve sborníku |
Název časopisu / knihy: | Proceedings of International Carpathian Control Conference |
Strana: | 401 - 404 |
ISBN: | 80-7099-509-2 |
Nakladatel: | Technical University of Košice |
Místo vydání: | Košice |
Datum: | 26.5.2003 - 29.5.2003 |
Klíčová slova
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}, }