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Developing adaptive automatic control systems for railway operations using neural network models
Міжнародний науковий журнал «Інтернаука», № 10, жовтень 2025
Анотація
This article reviews current methods for the automatic control of railway operations, focusing on adaptive algorithms and neural network models. It examines how train motion is modeled mathematically, how adaptive control systems are structured, and how neural networks can be used to estimate uncertainties in dynamic processes. Approaches to designing neural network control algorithms are discussed alongside published studies that report improved control accuracy and lower energy consumption. The article also identifies the main limitations of neural network technologies and outlines prospects for integrating them into existing railway signaling and automation systems.
Ключові слова: railway transport; railway operations; automatic control; adaptive control systems; neural networks; mathematical modeling; neural network algorithms; train operation optimization; energy efficiency; railway safety
Як цитувати
Yatsiuk A. Developing adaptive automatic control systems for railway operations using neural network models // International scientific journal "Internauka". 2025. № 10. https://doi.org/10.25313/2520-2057-2025-10-11580
@article{internauka12169,
author = {Yatsiuk, Anatolii},
title = {Developing adaptive automatic control systems for railway operations using neural network models},
journal = {Міжнародний науковий журнал «Інтернаука»},
year = {2025},
number = {10},
doi = {10.25313/2520-2057-2025-10-11580},
url = {https://www.inter-nauka.com/issues/2025/10/12169}
}
TY - JOUR AU - Yatsiuk, Anatolii TI - Developing adaptive automatic control systems for railway operations using neural network models JO - Міжнародний науковий журнал «Інтернаука» PY - 2025 IS - 10 SN - 2520-2057 DO - 10.25313/2520-2057-2025-10-11580 UR - https://www.inter-nauka.com/issues/2025/10/12169 LA - en ER -