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Statements

Subject Item
n2:RIV%2F00216275%3A25530%2F10%3A39882399%21RIV11-MSM-25530___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
The paper deals with the problem of a decision-making support (realised with the help of an artificial neural network) related to the platform track assignment problem. The mentioned problem is supposed to be solved in simulation models reflecting the railway traffic within passenger stations. The utilisation of two-layered perceptron (as a special kind of an artificial neural network) has been studied during the last period. The standing methodology expects that for each input station direction one trained neural network is available. The presented modified approach pays attention to the construction of just one generalised network, which has a potential to be exploited as a universal decision-making support (related to the platform track assignment) for the trains approaching the station from an arbitrary input station direction. The paper deals with the problem of a decision-making support (realised with the help of an artificial neural network) related to the platform track assignment problem. The mentioned problem is supposed to be solved in simulation models reflecting the railway traffic within passenger stations. The utilisation of two-layered perceptron (as a special kind of an artificial neural network) has been studied during the last period. The standing methodology expects that for each input station direction one trained neural network is available. The presented modified approach pays attention to the construction of just one generalised network, which has a potential to be exploited as a universal decision-making support (related to the platform track assignment) for the trains approaching the station from an arbitrary input station direction.
dcterms:title
Generalisation of artificial neural network supporting platform track assignment within railway station simulation Generalisation of artificial neural network supporting platform track assignment within railway station simulation
skos:prefLabel
Generalisation of artificial neural network supporting platform track assignment within railway station simulation Generalisation of artificial neural network supporting platform track assignment within railway station simulation
skos:notation
RIV/00216275:25530/10:39882399!RIV11-MSM-25530___
n3:aktivita
n9:Z n9:S
n3:aktivity
S, Z(MSM0021627505)
n3:dodaniDat
n10:2011
n3:domaciTvurceVysledku
n5:2728303 n5:5390397 n5:3022277
n3:druhVysledku
n18:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
260328
n3:idVysledku
RIV/00216275:25530/10:39882399
n3:jazykVysledku
n20:eng
n3:klicovaSlova
assignment platform track; artificial neural network
n3:klicoveSlovo
n16:artificial%20neural%20network n16:assignment%20platform%20track
n3:kontrolniKodProRIV
[C875799101FE]
n3:mistoKonaniAkce
Hasselt
n3:mistoVydani
Ostend
n3:nazevZdroje
Proceedings of The European Simulation and Modelling Conference - ESM' 2010
n3:obor
n14:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n10:2010
n3:tvurceVysledku
Kavička, Antonín Bažant, Michael Fikejz, Jan
n3:typAkce
n11:EUR
n3:zahajeniAkce
2010-10-25+02:00
n3:zamer
n4:MSM0021627505
s:numberOfPages
6
n19:hasPublisher
EUROSIS-ETI
n13:isbn
978-90-77381-57-1
n6:organizacniJednotka
25530