INTELLIGENT COMPUTER NETWORK FOR RAILWAY TRANSPORT USING NEURO-FUZZY MEANS 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
  • Vladyslav Lanevych Ukrainian State University of Science and Technology: «Dnipro Institute of Infrastructure and Transport» https://orcid.org/0009-0004-8130-3499

DOI:

https://doi.org/10.30888/2663-5712.2025-34-01-106

Keywords:

information and telecommunications system, Ethernet family technologies, OSPF, router delay, neurofuzzy tool, Sugeno, Gaussian function, learning optimizer, epoch, error, intelligent computer network

Abstract

At the present stage, the information and telecommunications system of railway transport uses local networks of the following technologies: Ethernet; Fast Ethernet; Gigabit Ethernet, as well as the OSPF routing protocol, when used in real time, a problem

Downloads

Published

2025-11-30

How to Cite

Пахомова, В., & Ланевич, В. (2025). INTELLIGENT COMPUTER NETWORK FOR RAILWAY TRANSPORT USING NEURO-FUZZY MEANS FOR DETERMINING THE OPTIMAL ROUTE. SWorldJournal, 1(34-01), 118–125. https://doi.org/10.30888/2663-5712.2025-34-01-106

Issue

No. 34-01 (2025)

Section

Articles

License

Copyright (c) 2025 Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.