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Prediction of the Discharge Coefficient of a Labyrinth Weir Type D by an Artificial Neural Network Method Cover

Prediction of the Discharge Coefficient of a Labyrinth Weir Type D by an Artificial Neural Network Method

Archives of Hydro-Engineering and Environmental Mechanics
Volume 71 (2024): Issue 1 (January 2024)
By: Faris Belaabed and  Leila Arabet  
Open Access
|Jul 2024

Authors

Faris Belaabed

bellabed.faris@univ-jijel.dz

Department of Civil and Hydraulic Engineering, Laboratory LGCE, Faculty of Sciences and Technologies, University of Jijel, Algeria
Laboratory of Hydraulic Planning and Environment, University of Biskra, Biskra, Algeria

Leila Arabet

arabet.leila@univ-jijel.dz

Department of Civil and Hydraulic Engineering, Laboratory LGCE, Faculty of Sciences and Technologies, University of Jijel, Algeria
DOI: https://doi.org/10.2478/heem-2024-0004 | Journal eISSN: 2300-8687 | Journal ISSN: 1231-3726
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Language: English
Page range: 59 - 72
Submitted on: Mar 20, 2024
Published on: Jul 5, 2024
Published by: Polish Academy of Sciences, Institute of Hydro-Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
ANN model,
approach conditions,
discharge coefficient,
data splitting,
labyrinth weir
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2024 Faris Belaabed, Leila Arabet, published by Polish Academy of Sciences, Institute of Hydro-Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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