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...

Full description

Saved in:
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/110300/1/110300.pdf
http://psasir.upm.edu.my/id/eprint/110300/
https://iwaponline.com/ws/article/23/3/1267/93399/Modeling-of-scour-depth-and-length-of-a-diversion
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Putra Malaysia
Language: English