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

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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Bibliographic Details
Main Authors: Tarek Selim, Mohamed Kamel Elshaarawy, Mohamed Elkiki, Mohamed Galal Eltarabily
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Applied Water Science
Subjects:
Seepage
Slide2 model
Regression analysis
SPSS
MLP-ANN
RBF-ANN
Online Access:https://doi.org/10.1007/s13201-024-02142-1

Internet

https://doi.org/10.1007/s13201-024-02142-1

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