Title of article
Performance Evaluation of Artificial Intelligence Models in Estimating the Discharge Coefficient of Labyrinth Weirs with Semicircular Crests
Author/Authors
Heydarzadeh ، Hamed Department of Civil Engineering - Faculty of Engineering - University of Maragheh , Asef ، Sarvenaz Department of Civil Engineering - Faculty of Engineering - University of Maragheh , Chabokpour ، Jafar Department of Civil Engineering - Faculty of Engineering - University of Maragheh , Norouzi ، Reza Department of Civil Engineering - Faculty of Engineering - University of Maragheh
From page
11
To page
19
Abstract
In this study, the performance of ANN and SVM in estimation of the discharge coefficient of the labyrinth weirs with semicircular crests was investigated. For this purpose, 454 experimental data were used. Dimensionless parameters of HT/P, L/W, W/P, and a were introduced as inputs and CD parameters as outputs in the models. The performance of the ANN model with RMSE, R and, DC was 0.019, 0.971 and 0.971 respectively more acceptable and closer to the experimental data than the SVM model.
Keywords
Labyrinthine Weir , Artificial neural network , Support vector machines
Journal title
Journal of Hydraulic Structures
Journal title
Journal of Hydraulic Structures
Record number
2764739
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