Modeling of scour depth and length of a diversion channel flow system with soft computing techniques

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Modeling of scour depth and length of a diversion channel flow system with soft computing techniques

This study employed soft computing techniques, namely, support vector machine (SVM) and Gaussian process regression (GPR) techniques, to predict the properties of a scour hole depth (ds) and length (Ls) in a diversion channel flow system. The study considered different geometries of diversion channe...

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Bibliographic Details
Main Authors:	Alomari, Nashwan K., Sihag, Parveen, Sami Al-Janabi, Ahmed Mohammed, Yusuf, Badronnisa
Format:	Article
Language:	English
Published:	IWA Publishing 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/110300/ http://psasir.upm.edu.my/id/eprint/110300/1/110300.pdf

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