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Publication detail
BURLAK, V. PIVOŇKA, P.
Original Title
Nonlinear identification based on RBF neural network
Type
journal article - other
Language
English
Original Abstract
This article is focused on the off-line identification of nonlinear dynamic systems. Hammerstein model was used for this identification. RBF (Radial Basis Function) neural network is used here to approximate the input nonlinear static function. This network is implemented as a piecewise linear function.
Keywords
nonlinear identification, RBF neural network, Hammerstein model, ARX model, off-line identification
Authors
BURLAK, V.; PIVOŇKA, P.
RIV year
2011
Released
23. 11. 2011
Publisher
DAAAM International Vienna
Location
TU Wien Karlsplatz 13/311 A-1040 Vienna Austria
ISBN
1726-9687
Periodical
DAAAM International Scientific Book
Year of study
10
Number
11
State
Republic of Austria
Pages from
547
Pages to
554
Pages count
8
BibTex
@article{BUT74601, author="Vladimír {Burlak} and Petr {Pivoňka}", title="Nonlinear identification based on RBF neural network", journal="DAAAM International Scientific Book", year="2011", volume="10", number="11", pages="547--554", issn="1726-9687" }