Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: Environmental Modelling & Software, 2021, volume 144, October 2021, artikel 105165, S.
- Schlagwort
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Maschinelles Lernen
Künstliche Intelligenz
Data Mining
- Ereignis
-
Veröffentlichung
- (wo)
-
Weimar
- (wer)
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Bauhaus-Universität Weimar
- (wann)
-
2021
- Urheber
- URN
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urn:nbn:de:gbv:wim2-20211004-44998
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:54 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Khosravi, Khabat
- Sheikh Khozani, Zohreh
- Cooper, James R.
- Bauhaus-Universität Weimar
Entstanden
- 2021
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