About: Local nonlinear filters with the second-order accuracy for neural network parameter estimation

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Odhad parametrů perceptronové sítě lokálními nelineárním filtračními metodami je zkoumán. Je porovnávána přesnost a rychlost rozšířeného Kalmanova filtru s filtrem druhého řádu a transformačním filtrem. Je ukázáno, že transformační filtr je při odhadu parametrů perceptronové sítě výrazně rychlejší než transformační filtr. (cs) This paper concentrates on parameter estimation of multi-layer perceptron network by nonlinear filtering methods. Whereas the EKF is using pproximation by the first order Taylor series expansion, the UKF estimates the parameters numerically by using a set of deterministically chosen points having higher degree of accuracy than the EKF without need to compute the derivatives of the function describing the network. Comparable accuracy as by UKF could be obtained by the truncated second-order filter (TSF). TSF has not been used yet because it is considered as more computationally demanding due to need of evaluation the matrix of second order derivatives. This paper points out, that the SKF is faster than the UKF in parameter estimation of MLP network thanks to a special form of the matrix of the second order derivatives. The evaluation of estimation quality and computational demands are demonstrated by a numerical example. This paper concentrates on parameter estimation of multi-layer perceptron network by nonlinear filtering methods. Whereas the EKF is using pproximation by the first order Taylor series expansion, the UKF estimates the parameters numerically by using a set of deterministically chosen points having higher degree of accuracy than the EKF without need to compute the derivatives of the function describing the network. Comparable accuracy as by UKF could be obtained by the truncated second-order filter (TSF). TSF has not been used yet because it is considered as more computationally demanding due to need of evaluation the matrix of second order derivatives. This paper points out, that the SKF is faster than the UKF in parameter estimation of MLP network thanks to a special form of the matrix of the second order derivatives. The evaluation of estimation quality and computational demands are demonstrated by a numerical example. (en)
Title	Local nonlinear filters with the second-order accuracy for neural network parameter estimation Odhad parametrů neuronové sítě filtry druhého řádu (cs) Local nonlinear filters with the second-order accuracy for neural network parameter estimation (en)
skos:prefLabel	Local nonlinear filters with the second-order accuracy for neural network parameter estimation Odhad parametrů neuronové sítě filtry druhého řádu (cs) Local nonlinear filters with the second-order accuracy for neural network parameter estimation (en)
skos:notation	RIV/49777513:23520/06:00000015!RIV07-GA0-23520___
http://linked.open.../vavai/riv/strany	165-168
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA102/05/2075), P(GP102/06/P202)
http://linked.open...vai/riv/dodaniDat	2007
http://linked.open...aciTvurceVysledku	Šimandl, Miroslav Král, Ladislav Hering, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	483502
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/06:00000015
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Parameter estimation; local filters; accuracy; multi-layer perceptron network (en)
http://linked.open.../riv/klicoveSlovo	accuracy Parameter estimation multi-layer perceptron network local filters
http://linked.open...ontrolniKodProRIV	[EA15A043BD62]
http://linked.open...v/mistoKonaniAkce	Rožnov pod Radhoštěm
http://linked.open...i/riv/mistoVydani	Ostrava
http://linked.open...i/riv/nazevZdroje	Proceedings of 7th International Carpathian control conference
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Theoretical background for integrated process control and optimization Parameter estimation and structure optimization of multilayer perceptron networks in nonlinear system identification
http://linked.open...UplatneniVysledku	2006
http://linked.open...iv/tvurceVysledku	Hering, Pavel Šimandl, Miroslav Král, Ladislav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2006-01-01 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Vysoká škola báňská - Technická univerzita Ostrava
https://schema.org/isbn	80-248-1066-2
http://localhost/t...ganizacniJednotka	23520
is http://linked.open...avai/riv/vysledek of	Local nonlinear filters with the second-order accuracy for neural network parameter estimation Local nonlinear filters with the second-order accuracy for neural network parameter estimation

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