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 |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| scopusresults 3068 .pdf Restricted Access | 132.08 kB | Adobe PDF | View/Open |
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