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...

Полное описание

Библиографические подробности
Главные авторы: Nouar AlDahoul, Ali Najah Ahmed, Mohammed Falah Allawi, Mohsen Sherif, Ahmed Sefelnasr, Kwok-wing Chau, Ahmed El-Shafie
Формат: Статья
Язык:English
Опубликовано: Taylor & Francis Group 2022-12-01
Серии:Engineering Applications of Computational Fluid Mechanics
Предметы:
Suspended sediment load
extreme gradient boosting
random forest
support vector machine
multi-layer perceptron
k-nearest neighbor
Online-ссылка:https://www.tandfonline.com/doi/10.1080/19942060.2022.2073565

Internet

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

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