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Estimating seepage losses from lined irrigation canals using nonlinear regression and artificial neural network models

Abstract The Slide2 model was used to estimate seepage losses from canals after validation considering different canal geometries, lining thicknesses, and lining materials. SPSS was used to develop three models: NLR, MLP-ANN, and RBF-ANN. MATLAB software was used to write down the script code for th...

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Bibliografische gegevens
Hoofdauteurs: Tarek Selim, Mohamed Kamel Elshaarawy, Mohamed Elkiki, Mohamed Galal Eltarabily
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: SpringerOpen 2024-04-01
Reeks:Applied Water Science
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Online toegang:https://doi.org/10.1007/s13201-024-02142-1
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