Estimating critical depth and discharge over sloping rough end depth using machine learning
This study uses machine learning (ML) to predict the end-depth structure's discharge and critical depth (yc). Linear regression, M5P, random forest, random tree, reduced error pruning tree, and Gaussian process (GP) are the ML methods used in this investigation. The findings indicate that the r...
| Main Authors: | , |
|---|---|
| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
IWA Publishing
2024-03-01
|
| סדרה: | Journal of Hydroinformatics |
| נושאים: | |
| גישה מקוונת: | http://jhydro.iwaponline.com/content/26/3/626 |