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...

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Podrobná bibliografie
Hlavní autoři: Nouar AlDahoul, Ali Najah Ahmed, Mohammed Falah Allawi, Mohsen Sherif, Ahmed Sefelnasr, Kwok-wing Chau, Ahmed El-Shafie
Médium: Článek
Jazyk:English
Vydáno: Taylor & Francis Group 2022-12-01
Edice:Engineering Applications of Computational Fluid Mechanics
Témata:
Suspended sediment load
extreme gradient boosting
random forest
support vector machine
multi-layer perceptron
k-nearest neighbor
On-line přístup: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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