APPLYING NEURAL NETWORKS IN TRANSPORTATION

dc.contributor.author	Shaimukhamet, Аssel
dc.date.accessioned	2025-11-21T10:09:50Z
dc.date.available	2025-11-21T10:09:50Z
dc.date.issued	2025-03-13
dc.identifier.isbn	978-601-385-053-5
dc.identifier.uri	http://repository.enu.kz/handle/enu/27396
dc.description.abstract	This paper explores the application of neural networks in transportation systems, emphasizing their role in improving efficiency, safety, and environmental sustainability. Artificial intelligence (AI), particularly neural networks, has significantly transformed transportation by enabling real-time data analysis, optimizing traffic flow, enhancing autonomous vehicle performance, and improving predictive maintenance. The paper also discusses the safety implications, the environmental benefits, and the future potential of AI-driven transportation systems. The conclusion highlights the growing importance of neural networks in shaping the future of transportation.	ru
dc.language.iso	en	ru
dc.publisher	L.N. Gumilyov Eurasian National University	ru
dc.title	APPLYING NEURAL NETWORKS IN TRANSPORTATION	ru
dc.type	Article	ru