Detail publikace

Nonlinear identification based on RBF neural network

BURLAK, V. PIVOŇKA, P.

Originální název

Nonlinear identification based on RBF neural network

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

nonlinear identification, RBF neural network, Hammerstein model, ARX model, off-line identification

Autoři

BURLAK, V.; PIVOŇKA, P.

Rok RIV

2011

Vydáno

23. 11. 2011

Nakladatel

DAAAM International Vienna

Místo

TU Wien Karlsplatz 13/311 A-1040 Vienna Austria

ISSN

1726-9687

Periodikum

DAAAM International Scientific Book

Ročník

10

Číslo

11

Stát

Rakouská republika

Strany od

547

Strany do

554

Strany počet

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"
}