Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling ; year:2019 ; pages:1-32
Hydrology and earth system sciences discussions ; (2019), 1-32
- Urheber
- DOI
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10.5194/hess-2019-368
- URN
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urn:nbn:de:101:1-2019080805010979064624
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:36 MESZ
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Beteiligte
- Kratzert, Frederik
- Klotz, Daniel
- Shalev, Guy
- Klambauer, Günter
- Hochreiter, Sepp
- Nearing, Grey
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