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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
IWA Publishing
2023
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| 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 |
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