OPTIMAL ROUTE DEFINITION IN THE RAILWAY INFORMATION NETWORK USING NEURAL-FUZZY MODELS

V. M. Pakhomova, Y. S. Mandybura

Open source

DOI: 10.15802/stp2019/184385
Published: 2019-11-20
Container: Science and Transport Progress
Publisher: Ukrainian State University of Science and Technologies
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.15802/stp2019/184385,
  title = {OPTIMAL ROUTE DEFINITION IN THE RAILWAY INFORMATION NETWORK USING NEURAL-FUZZY MODELS},
  author = {V. M. Pakhomova and Y. S. Mandybura},
  year = {2019},
  journal = {Science and Transport Progress},
  doi = {10.15802/stp2019/184385},
  url = {https://doi.org/10.15802/stp2019/184385}
}

RIS

TY  - JOUR
TI  - OPTIMAL ROUTE DEFINITION IN THE RAILWAY INFORMATION NETWORK USING NEURAL-FUZZY MODELS
AU  - V. M. Pakhomova
AU  - Y. S. Mandybura
PY  - 2019
JO  - Science and Transport Progress
DO  - 10.15802/stp2019/184385
UR  - https://doi.org/10.15802/stp2019/184385
ER  -

APA

Pakhomova, V. M., & Mandybura, Y. S. (2019). OPTIMAL ROUTE DEFINITION IN THE RAILWAY INFORMATION NETWORK USING NEURAL-FUZZY MODELS. Science and Transport Progress. https://doi.org/10.15802/stp2019/184385

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crossref · retrieved 2026-11-10T10:19:59.623Z