Untangling hybrid hydrological models with explainable artificial intelligence
Hydrological models are valuable tools for developing streamflow predictions in unmonitored catchments to increase our understanding of hydrological processes. A recent effort has been made in the development of hybrid (conceptual/machine learning) models that can preserve some of the hydrological p...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
IWA Publishing
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/1fa6d8abbab3463a85b7d216edde8b9f |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Soyez le premier à ajouter un commentaire!