Please use this identifier to cite or link to this item:
http://lib.kart.edu.ua/handle/123456789/29801| Title: | Comparative analysis of the effectiveness of neural networks and classical statistical methods in the diagnostics of microprocessor-based centralization systems |
| Authors: | Zmii, S.O. Choba, V.Y. |
| Issue Date: | 2025 |
| Publisher: | Український державний університет залізничного транспорту |
| Citation: | Zmii S.O. Comparative analysis of the effectiveness of neural networks and classical statistical methods in the diagnostics of microprocessor-based centralization systems / S.O. Zmii, V.Y. Choba // Інформаційно-керуючі системи на залізничному транспорті : тези стендових доповідей та виступів учасників 38-ї Міжнар. наук.-практ. конф.(Харків, 9-10 жовтня, 2025 р.). – ІКСЗТ. – 2025. – № 3 (додаток). – С. 11-12. |
| Abstract: | The introduction of microprocessor-based centralization systems (MPC) is a key stage in the modernization of railway infrastructure, ensuring increased traffic safety and station throughput. Unlike morally and physically obsolete block route-relay centralizations, which are characterized by rigid logic, significant operating costs, and a lack of self-diagnostic capabilities, MPCs offer flexibility, high reliability, and integrated control, monitoring, archiving, and diagnostic functions. |
| URI: | http://lib.kart.edu.ua/handle/123456789/29801 |
| ISSN: | 1681-4886 (рrint); 2413-3833 (online) |
| Appears in Collections: | Том 30 № 3 (додаток) |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.