Method for constructing an adaptive suboptimal stationary train traffic controller based on artificial neural networks

S. V. Malakhov; M. Yu. Kapustin

RUSSIAN RAILWAY SCIENCE JOURNAL
RUSSIAN RAILWAY SCIENCE JOURNAL

ISSN 2223-9731 (Print)
ISSN 2713-2560 (Online)

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Malakhov S.V., Kapustin M.Yu. Method for constructing an adaptive suboptimal stationary train traffic controller based on artificial neural networks. RUSSIAN RAILWAY SCIENCE JOURNAL. 2021;80(1):13-19. (In Russ.) https://doi.org/10.21780/2223-9731-2021-80-1-13-19

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ISSN 2223-9731 (Print)
ISSN 2713-2560 (Online)

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About the Authors

S. V. Malakhov
Federal State Autonomous Educational Institution of Higher Education “Russian University of Transport” (FGAOU VO “RUT” (MIIT))
Russian Federation

Sergey V. Malakhov, Assistant, Department “Traction Rolling Stock”

Moscow, 127055

M. Yu. Kapustin
Federal State Autonomous Educational Institution of Higher Education “Russian University of Transport” (FGAOU VO “RUT” (MIIT))
Russian Federation

Mikhail Yu. Kapustin, Cand. Sci. (Eng.), Associate Professor, Department “Traction Rolling Stock”; member of the Scientific and Technical Council of the JSC “RZD”

Moscow, 127055

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