About: Neural Network Approach to Railway Stand Lateral Skew Control

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://airccj.org/CSCP/vol4/csit41928.pdf
Description	The paper presents a study of an adaptive approach to lateral skew control for an experimental railway stand. The preliminary experiments with the real experimental railway stand and simulations with its 3-D mechanical model, indicates difficulties of model-based control of the device. Thus, use of neural networks for identification and control of lateral skew shall be investigated. This paper focuses on real-data based modelling of the railway stand by various neural network models, i.e; linear neural unit and quadratic neural unit architectures. Furthermore, training methods of these neural architectures as such, real-time-recurrent-learning and a variation of back-propagation-through-time are examined, accompanied by a discussion of the produced experimental results. The paper presents a study of an adaptive approach to lateral skew control for an experimental railway stand. The preliminary experiments with the real experimental railway stand and simulations with its 3-D mechanical model, indicates difficulties of model-based control of the device. Thus, use of neural networks for identification and control of lateral skew shall be investigated. This paper focuses on real-data based modelling of the railway stand by various neural network models, i.e; linear neural unit and quadratic neural unit architectures. Furthermore, training methods of these neural architectures as such, real-time-recurrent-learning and a variation of back-propagation-through-time are examined, accompanied by a discussion of the produced experimental results. (en)
Title	Neural Network Approach to Railway Stand Lateral Skew Control Neural Network Approach to Railway Stand Lateral Skew Control (en)
skos:prefLabel	Neural Network Approach to Railway Stand Lateral Skew Control Neural Network Approach to Railway Stand Lateral Skew Control (en)
skos:notation	RIV/68407700:21220/14:00226709!RIV15-MSM-21220___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Cejnek, Matouš Beneš, Peter Mark Bukovský, Ivo Kalivoda, Jan
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	České vysoké učení technické v Praze / Fakulta strojní
http://linked.open...dnocenehoVysledku	32233
http://linked.open...ai/riv/idVysledku	RIV/68407700:21220/14:00226709
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Roller Rig; Linear Neural Unit; Quadratic Neural Unit; Real-Time-Recurrent-Learning (RTRL); Back-Propagation-Through-Time (BPTT) (en)
http://linked.open.../riv/klicoveSlovo	Quadratic Neural Unit Back-Propagation-Through-Time (BPTT) Linear Neural Unit Real-Time-Recurrent-Learning (RTRL) Roller Rig
http://linked.open...ontrolniKodProRIV	[F3B79E8EB948]
http://linked.open...v/mistoKonaniAkce	Sydney
http://linked.open...i/riv/mistoVydani	Chennai, Tamil Nadu
http://linked.open...i/riv/nazevZdroje	Computer Science & Information Technology
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Bukovský, Ivo Kalivoda, Jan Beneš, Peter Mark Cejnek, Matouš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-02-21 (xsd:date)
issn	2231-5403
number of pages	13 (xsd:int)
http://bibframe.org/vocab/doi	10.5121/csit.2014.4228
http://purl.org/ne...btex#hasPublisher	AIRCC Publishing Corporation
http://localhost/t...ganizacniJednotka	21220

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