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An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection Cover

An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection

International Journal of Applied Mathematics and Computer Science
Volume 23 (2013): Issue 1 (March 2013)
By: Marcin Mrugalski  
Open Access
|Mar 2013
DOI: https://doi.org/10.2478/amcs-2013-0013 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 157 - 169
Published on: Mar 26, 2013
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
robust fault detection,
non-linear system identification,
dynamic GMDH neural network,
unscented Kalman filter
Related subjects:
Mathematics,
Applied mathematics

© 2013 Marcin Mrugalski, published by University of Zielona Góra
This work is licensed under the Creative Commons License.

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