The potential of ensemble WT-EEMD-kernel extreme learning machine techniques for prediction suspended sediment concentration in successive points of a river

The potential of ensemble WT-EEMD-kernel extreme learning machine techniques for prediction suspended sediment concentration in successive points of a river

Sediment transport is one of the most important issues in river engineering. In this study, the capability of the Kernel Extreme Learning Machine (KELM) approach for predicting the river daily Suspended Sediment Concentration (SSC) and Discharge (SSD) was assessed. Three successive hydrometric stati...

Full description

Bibliographic Details
Main Authors: Kiyoumars Roushangar, Nasrin Aghajani, Roghayeh Ghasempour, Farhad Alizadeh
Format: Article
Language:English
Published: IWA Publishing 2021-05-01
Series:Journal of Hydroinformatics
Subjects:
eemd
kelm
pre-processing
suspended load
suspended sediment discharge
wt
Online Access:http://jh.iwaponline.com/content/23/3/655

Internet

http://jh.iwaponline.com/content/23/3/655

Similar Items