Groundwater is an important source for water supply,irrigation, and energy sectors. However, effective management of theseresources requires solving complex problems. This article focuses on the issue ofmodeling the movement of the groundwater hydrosphere using artificialintelligence (AI) technologies. The article examines the application of machinelearning algorithms, deep learning methods, and the involvement of neuralnetworks for predicting the movement of water between layers. The researchresults show that AI-based models provide 15–25% more accurate resultscompared to traditional mathematical models and reduce computation time by3–5 times.
| Mualliflar | Yusupov R.A. |
|---|---|
| Jurnal | Management and Economics Scientific Research Journal |
| Nashr sanasi | 2026-05-21 |
| Jild | 3 |
| Son | 3 |
| Betlar | 56-63 |
| Til | O‘zbek |
yer osti suvlari, sun’iy intellekt, mashinali o‘qitish, chuqur o‘qitish, gidrogeologik modellashtirish, neyron tarmoqlar
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