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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2023
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/110300/1/110300.pdf |