Generalisation of artificial neural network supporting platform track assignment within railway station simulation

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Generalisation of artificial neural network supporting platform track assignment within railway station simulation
Original language 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.
Czech name
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Czech description
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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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Number of pages
6
Pages from-to
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Publisher name
EUROSIS-ETI
Place of publication
Ostend
Event location
Hasselt
Event date
Oct 25, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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