Authors: Todorović, Branimir
Stanković, Miomir 
Moraga, Claudio
Title: Extended Kalman filter trained recurrent radial basis function network in nonlinear system identification
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 2415 LNCS
First page: 819
Last page: 824
Issue Date: 1-Jan-2002
Rank: M22
ISBN: 978-3-540-44074-1
ISSN: 0302-9743
DOI: 10.1007/3-540-46084-5_133
Abstract: 
We consider the recurrent radial basis function network as a model of nonlinear dynamic system. On-line parameter and structure adaptation is unified under the framework of extended Kalman filter. The ability of adaptive system to deal with high observation noise, and the generalization ability of the resulting RRBF network are demonstrated in nonlinear system identification. © Springer-Verlag Berlin Heidelberg 2002.

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