ІНТЕЛЕКТУАЛЬНА КОМП'ЮТЕРНА МЕРЕЖА ЗАЛІЗНИЧНОГО ТРАНСПОРТУ З ВИКОРИСТАННЯМ НЕЙРОМЕРЕЖНОГО ЗАСОБУ ДЛЯ ВИЗНАЧЕННЯ ОПТИМАЛЬНОГО МАРШРУТУ

Victoria Pakhomova; Oleksandr Budnikov

doi:10.30890/2567-5273.2025-40-02-038

INTELLIGENT COMPUTER NETWORK FOR RAILWAY TRANSPORT USING NEURAL NETWORK FOR DETERMINING THE OPTIMAL ROUTE

Authors

Victoria Pakhomova Ukrainian State University of Science and Technology: «Dnipro Institute of Infrastructure and Transport» https://orcid.org/0000-0002-0022-099X
Oleksandr Budnikov Ukrainian State University of Science and Technology: «Dnipro Institute of Infrastructure and Transport» https://orcid.org/0009-0007-4542-1617

DOI:

https://doi.org/10.30890/2567-5273.2025-40-02-038

Keywords:

information and telecommunications system, Ethernet family technologies, OSPF protocol, delay on routers, neural network tool, activation function, training algorithm, mean square error, epoch, accuracy

Abstract

At the present stage, the information and telecommunications system of railway transport uses local area networks of Ethernet family technologies and the OSPF protocol, when used in real time, a problem arises due to constant changes in the volume of tran

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Published

2025-08-30

How to Cite

Пахомова, В., & Будніков, О. (2025). INTELLIGENT COMPUTER NETWORK FOR RAILWAY TRANSPORT USING NEURAL NETWORK FOR DETERMINING THE OPTIMAL ROUTE. Modern Engineering and Innovative Technologies, 2(40-02), 32–39. https://doi.org/10.30890/2567-5273.2025-40-02-038