| DC Field | Value | Language |
|---|
| dc.contributor.author | Voit, N. | - |
| dc.contributor.author | Bochkov, S. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-02-27T09:12:10Z | - |
| dc.date.available | 2024-02-27T09:12:10Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Voit, N. A system for visualization and prediction of floods on lowland rivers / N. Voit, S. Bochkov // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 324–327. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54398 | - |
| dc.description.abstract | A system for visualizing and forecasting floods on lowland rivers is presented, combining a geometric approach to calculate a flood zone and a complex of four neural networks to predict water levels. The modular architecture of the system allows independent implementation and interchangeability of elements both at the subsystem level and at the level of processing individual input variables involved in system analysis. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BSU | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | neural network | en_US |
| dc.subject | flood | en_US |
| dc.subject | forecast | en_US |
| dc.subject | lowland rivers | en_US |
| dc.title | A system for visualization and prediction of floods on lowland rivers | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
|
