Enhancing data-driven soil moisture modeling with physically-guided LSTM networks
In recent years, deep learning methods have shown significant potential in soil moisture modeling. However, a prominent limitation of deep learning approaches has been the absence of physical mechanisms. To address this challenge, this study introduces two novel loss functions designed around physic...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2024-02-01
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| Schriftenreihe: | Frontiers in Forests and Global Change |
| Schlagworte: | |
| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/ffgc.2024.1353011/full |
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