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...
Na minha lista:
Главные авторы: | , |
---|---|
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 |