Predicting streamflow with LSTM networks using global datasets
Streamflow predictions remain a challenge for poorly gauged and ungauged catchments. Recent research has shown that deep learning methods based on Long Short-Term Memory (LSTM) cells outperform process-based hydrological models for rainfall-runoff modeling, opening new possibilities for prediction i...
Gorde:
| Egile Nagusiak: | , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Frontiers Media S.A.
2023-06-01
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| Saila: | Frontiers in Water |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.frontiersin.org/articles/10.3389/frwa.2023.1166124/full |
| Etiketak: |
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