Generalisation of artificial neural network supporting platform track assignment within railway station simulation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F10%3A39882399" target="_blank" >RIV/00216275:25530/10:39882399 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Generalisation of artificial neural network supporting platform track assignment within railway station simulation
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Generalisation of artificial neural network supporting platform track assignment within railway station simulation
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2010
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of The European Simulation and Modelling Conference - ESM' 2010
ISBN
978-90-77381-57-1
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
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Název nakladatele
EUROSIS-ETI
Místo vydání
Ostend
Místo konání akce
Hasselt
Datum konání akce
25. 10. 2010
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
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