A comparison of machine learning models for suspended sediment load classification

A comparison of machine learning models for suspended sediment load classification

The suspended sediment load (SSL) is one of the major hydrological processes affecting the sustainability of river planning and management. Moreover, sediments have a significant impact on dam operation and reservoir capacity. To this end, reliable and applicable models are required to compute and c...

Descripció completa

Dades bibliogràfiques
Autors principals: Nouar AlDahoul, Ali Najah Ahmed, Mohammed Falah Allawi, Mohsen Sherif, Ahmed Sefelnasr, Kwok-wing Chau, Ahmed El-Shafie
Format: Article
Idioma:English
Publicat: Taylor & Francis Group 2022-12-01
Col·lecció:Engineering Applications of Computational Fluid Mechanics
Matèries:
Suspended sediment load
extreme gradient boosting
random forest
support vector machine
multi-layer perceptron
k-nearest neighbor
Accés en línia:https://www.tandfonline.com/doi/10.1080/19942060.2022.2073565

Internet

https://www.tandfonline.com/doi/10.1080/19942060.2022.2073565

Ítems similars