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Theoretical basics of the self-learning system of intelligent locomotive decision support systems

Analysis of works in the field of artificial intelligence allows to make an assumption that today there is a sufficiently developed theoretical basis for the development of intelligent control systems for locomotive control. This will minimize the risks associated with the human factor on the railw...

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Hlavní autoři: Oleksandr Gorobchenko, Halyna Holub, Denys Zaika
Médium: Artigo
Jazyk:Inglês
Vydáno: Faculty of Transport, Warsaw University of Technology 2024-09-01
Edice:Archives of Transport
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On-line přístup:https://www.archivesoftransport.com/index.php/aot/article/view/643
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