Authors: , Kimyo va kimyoviy texnologiya
Year2026
Citations0
Abstract · 2023
Optimization of pumping stations using neural networks (case of Samarkand) 7
20.1019/ttaconf2023/2023/81909702Open on nationaldri.uzEnglish
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Authors
Собирова Саодат Асрор қизиORCID 0000-0002-0025-8349 (opens in a new tab)
Toshkent kimyo-texnologiya instituti
Abstract
The article examines optimization of pumping stations using neural networks (case of Samarkand) 7. A comparative analysis of international experience is provided. Practical recommendations are proposed.
Bibliographic details
- DRI
- 20.1019/ttaconf2023/2023/81909702
- Work type
- Abstract
- Pages
- 1–3
- Published
- 21 February 2023
- Language
- English
- Passport mirror
- synced 21/09/2026, 16:49, version 1
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