Prediction of the Discharge Coefficient of a Labyrinth Weir Type D by an Artificial Neural Network Method
By: Faris Belaabed and Leila Arabet
Authors
Faris Belaabed
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
Department of Civil and Hydraulic Engineering, Laboratory LGCE, Faculty of Sciences and Technologies, University of Jijel, Algeria
Language: English
Page range: 59 - 72
Submitted on: Mar 20, 2024
Published on: Jul 5, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
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© 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.