Uncertainty analysis of discharge coefficient predicted for rectangular side weir using machine learning methods

Uncertainty analysis of discharge coefficient predicted for rectangular side weir using machine learning methods

The present study used three machine learning models, including Least Square Support Vector Regression (LSSVR) and two non-parametric models, namely, Quantile Regression Forest (QRF) and Gaussian Process Regression (GPR), to quantify uncertainty and precisely predict the side weir discharge coeffici...

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Bibliographic Details
Main Authors: Seyedian Seyed Morteza, Kisi Ozgur
Format: Article
Language:English
Published: Sciendo 2024-03-01
Series:Journal of Hydrology and Hydromechanics
Subjects:
machine learning
prediction intervals
sensitivity analysis
side weir discharge coefficient
uncertainty analysis
Online Access:https://doi.org/10.2478/johh-2023-0043

Internet

https://doi.org/10.2478/johh-2023-0043

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