Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/123456789/27483
Title: Neural Networks in Production
Authors: Rudakova, T. A.
Рудакова, Т. А.
Keywords: Automation;Logistics;Neural networks
Issue Date: 2024
Citation: Kuyukova, V.N., Rudakova, T.A. Neural Networks in Production // Proceedings of the 2024 Conference of Young Researchers in Electrical and Electronic Engineering, ElCon 2024. - 2024. - pp. 414-417. - DOI: 10.1109/ElCon61730.2024.10468508
Series/Report no.: Proceedings of the 2024 Conference of Young Researchers in Electrical and Electronic Engineering, ElCon 2024
Abstract: The article presents a new approach to the use of neural networks in logistics. The study suggests using neural networks at every stage of the product creation path, starting from production and ending with delivery to the consumer. The article presents the potential application of neural networks for optimizing warehouse processes, inventory management, demand forecasting and optimal delivery routes.
URI: https://dspace.ncfu.ru/handle/123456789/27483
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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