Predicting Ice Phenomena in a River Using the Artificial Neural Network and Extreme Gradient Boosting
Forecasting ice phenomena in river systems is of great importance because these phenomena are a fundamental part of the hydrological regime. Due to the stochasticity of ice phenomena, their prediction is a difficult process, especially when data sets are sparse or incomplete. In this study, two mach...
I tiakina i:
| Ngā kaituhi matua: | , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2022-01-01
|
| Rangatū: | Resources |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2079-9276/11/2/12 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
