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Citation
: Parameter estimation of MLP network by particle filters . Process control 2006, p. 1-7, Univerzita Pardubice, Pardubice, 2006.
Abstract
Parameter estimation of a multi-layer perceptron network using global nonlinear filtering methods is treated. The truncated second-order filter is applied within the framework of the particle filter approach to design the truncated second-order particle filter as less computationally demanding alternative to unscented Kalman particle filter if it is used for the parameter estimation of multi-layer perceptron network. Further, the particle filter based estimators such as the extended Kalman particle filter and the truncated second-order particle filter are compared in a numerical example.
Detail of publication
| Title: | Parameter estimation of MLP network by particle filters |
|---|---|
| Author: | Hering, P. |
| Language: | English |
| Date of publication: | 13 Jun 2006 |
| Year: | 2006 |
| Type of publication: | Papers in proceedings of reviewed conferences |
| Title of journal or book: | Process control 2006 |
| Page: | 1 - 7 |
| ISBN: | 80-7194-860-8 |
| Publisher: | Univerzita Pardubice |
| Address: | Pardubice |
| Date: | 13 Jun 2006 - 16 Jun 2006 |
Keywords
Parameter estimation, Probability density function, Particle filters, Multilayer perceptron network
BibTeX
@INPROCEEDINGS{HeringP_2006_Parameterestimation,
author = {Hering, P.},
title = {Parameter estimation of MLP network by particle filters},
year = {2006},
publisher = {Univerzita Pardubice},
journal = {Process control 2006},
address = {Pardubice},
pages = {1-7},
ISBN = {80-7194-860-8},
url = {http://www.kky.zcu.cz/en/publications/HeringP_2006_Parameterestimation},
}