Ir para o conteúdo

Neural Networks in Production

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 f...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Главные авторы: Rudakova, T. A., Рудакова, Т. А.
Formato: Статья
Idioma:English
Publicado em: 2024
Assuntos:
Acesso em linha:https://dspace.ncfu.ru/handle/123456789/27483
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
id ir-123456789-27483
record_format dspace
spelling ir-123456789-274832024-04-22T14:24:51Z Neural Networks in Production Rudakova, T. A. Рудакова, Т. А. Automation Logistics Neural networks 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. 2024-04-22T14:23:09Z 2024-04-22T14:23:09Z 2024 Статья 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 https://dspace.ncfu.ru/handle/123456789/27483 en Proceedings of the 2024 Conference of Young Researchers in Electrical and Electronic Engineering, ElCon 2024 application/pdf
institution СКФУ
collection Репозиторий
language English
topic Automation
Logistics
Neural networks
spellingShingle Automation
Logistics
Neural networks
Rudakova, T. A.
Рудакова, Т. А.
Neural Networks in Production
description 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.
format Статья
author Rudakova, T. A.
Рудакова, Т. А.
author_facet Rudakova, T. A.
Рудакова, Т. А.
author_sort Rudakova, T. A.
title Neural Networks in Production
title_short Neural Networks in Production
title_full Neural Networks in Production
title_fullStr Neural Networks in Production
title_full_unstemmed Neural Networks in Production
title_sort neural networks in production
publishDate 2024
url https://dspace.ncfu.ru/handle/123456789/27483
work_keys_str_mv AT rudakovata neuralnetworksinproduction
AT rudakovata neuralnetworksinproduction
_version_ 1809808056374001664