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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F05%3A00000247%21RIV06-GA0-23520___
rdf:type
n19:Vysledek skos:Concept
dcterms:description
Identification of nonlinear system using neural networks and Kalman filtering based methods are treated. The stress is laid on networks parameters estimation, particularly by derivative-free Kalman filter based methods. The methods are easier for impleme Článek je věnován metodám Kalmanovské filtrace pro identifikaci nelineárních systémů neuronovými sítěmi. Důraz je kladen na odhad parametrů neuronové sítě, především na metody bezderivační kalmanovské filtrace. Uvažované metody umožňují snazší implementa Identification of nonlinear system using neural networks and Kalman filtering based methods are treated. The stress is laid on networks parameters estimation, particularly by derivative-free Kalman filter based methods. The methods are easier for impleme
dcterms:title
Kalman filtering based methods for identification of nonlinear systems by neural networks Metody Kalmanovské filtrace pro identifikaci nelineárních systémů neuronovými sítěmi Kalman filtering based methods for identification of nonlinear systems by neural networks
skos:prefLabel
Kalman filtering based methods for identification of nonlinear systems by neural networks Metody Kalmanovské filtrace pro identifikaci nelineárních systémů neuronovými sítěmi Kalman filtering based methods for identification of nonlinear systems by neural networks
skos:notation
RIV/49777513:23520/05:00000247!RIV06-GA0-23520___
n5:strany
345-350
n5:aktivita
n12:P
n5:aktivity
P(GA102/05/2075)
n5:dodaniDat
n7:2006
n5:domaciTvurceVysledku
n10:5495628 n10:3796884 n10:3724107 n10:5446937
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n8:D
n5:duvernostUdaju
n18:S
n5:entitaPredkladatele
n13:predkladatel
n5:idSjednocenehoVysledku
526503
n5:idVysledku
RIV/49777513:23520/05:00000247
n5:jazykVysledku
n9:eng
n5:klicovaSlova
System identification; nonlinear system; neural network training; multilayer perceptron network; derivative-free Kalman filter
n5:klicoveSlovo
n6:System%20identification n6:nonlinear%20system n6:derivative-free%20Kalman%20filter n6:neural%20network%20training n6:multilayer%20perceptron%20network
n5:kontrolniKodProRIV
[657BCB5D188F]
n5:mistoKonaniAkce
Miskolc-Lillafüred
n5:mistoVydani
Miskolc-Lillafüred
n5:nazevZdroje
Proceedings of 6th International carpathian control conference
n5:obor
n20:BC
n5:pocetDomacichTvurcuVysledku
4
n5:pocetTvurcuVysledku
4
n5:projekt
n14:GA102%2F05%2F2075
n5:rokUplatneniVysledku
n7:2005
n5:tvurceVysledku
Hering, Pavel Šimandl, Miroslav Král, Ladislav Duník, Jindřich
n5:typAkce
n11:WRD
n5:zahajeniAkce
2005-05-24+02:00
s:numberOfPages
6
n4:hasPublisher
University of Miskolc
n16:isbn
963-661-643-4
n17:organizacniJednotka
23520