Rotary gate discharge determination for inclusive data from free to submerged flow conditions using ENN, ENN–GA, and SVM–SA
This study aims at evaluating the performance of the Elman Neural Network (ENN), Elman Neural Network-Genetic Algorithm (ENN–GA), and Support Vector Machine-simulated annealing (SVM–SA) in determining the discharge of a newly proposed rotary gate for the inclusive data range from free flow to highly...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IWA Publishing
2023-07-01
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Series: | Journal of Hydroinformatics |
Subjects: | |
Online Access: | http://jhydro.iwaponline.com/content/25/4/1312 |