Predicting the discharge coefficient of oblique cylindrical weir using neural network techniques
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1866-7538
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Predicting the discharge coefficient of oblique cylindrical weir using neural network techniques ; volume:14 ; number:16 ; day:4 ; month:8 ; year:2021 ; pages:1-8 ; date:8.2021
Arabian journal of geosciences ; 14, Heft 16 (4.8.2021), 1-8, 8.2021
- Urheber
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Ismael, Adnan A.
Suleiman, Saleh J.
Al-Nima, Raid Rafi Omar
Al-Ansari, Nadhir
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s12517-021-07911-9
- URN
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urn:nbn:de:101:1-2021110609070007493774
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:29 MESZ
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Beteiligte
- Ismael, Adnan A.
- Suleiman, Saleh J.
- Al-Nima, Raid Rafi Omar
- Al-Ansari, Nadhir
- SpringerLink (Online service)
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Investigation of discharge coefficient of trapezoidal labyrinth weirs using artificial neural networks and support vector machines
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