Performance Evaluation of Artificial Intelligence Models in Estimating the Discharge Coefficient of Labyrinth Weirs with Semicircular Crests

Author(s):

Hamed Heydarzadeh * , Sarvenaz Asef , Jafar Chabokpour , Reza Norouzi

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
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

Language:
English
Published:
Journal of Hydraulic Structures, Volume:10 Issue: 2, Summer 2024
Pages:
11 to 19
https://www.magiran.com/p2721757  
سامانه نویسندگان
  • Norouzi، Reza
    Author (4)
    Norouzi, Reza
    Researcher Department of Civil Engineering, Faculty of Engineering, University of Maragheh, مراغه, Iran
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