Please use this identifier to cite or link to this item:
http://lib.kart.edu.ua/handle/123456789/31332| Title: | Graph neural network for improving weather forecasting accuracy |
| Authors: | Petrenko, Tetyana Zadorozhnyi, Anton |
| Issue Date: | 2025 |
| Publisher: | Національний технічний університет "Харківський політехнічний інститут" |
| Citation: | Petrenko Т. Graph neural network for improving weather forecasting accuracy / Т. Petrenko, А. Zadorozhnyi // Проблеми інформатики та моделювання (ПІМ-2025): тези двадцять п'ятої міжнародної науково-технічної конференції, 25-28 вересня 2025 р. – Харків: НТУ "ХПІ", 2025. – С. 84. |
| Abstract: | The increasing availability of meteorological data from various sources creates a significant opportunity for improving the accuracy of weather forecasting. The Graph Neural Networks (GNNs) [1, 2], have emerged as a promising alternative to numerical weather prediction (NWP) due to their ability to model complex relationships and dependencies within a network structure. |
| URI: | http://lib.kart.edu.ua/handle/123456789/31332 |
| ISSN: | 2524-0269 |
| Appears in Collections: | 2025 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Petrenko.pdf | 1.24 MB | Adobe PDF | View/Open |
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