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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Nouar AlDahoul, Ali Najah Ahmed, Mohammed Falah Allawi, Mohsen Sherif, Ahmed Sefelnasr, Kwok-wing Chau, Ahmed El-Shafie
Формат: Өгүүллэг
Хэл сонгох:English
Хэвлэсэн: Taylor & Francis Group 2022-12-01
Цуврал:Engineering Applications of Computational Fluid Mechanics
Нөхцлүүд:
Suspended sediment load
extreme gradient boosting
random forest
support vector machine
multi-layer perceptron
k-nearest neighbor
Онлайн хандалт:https://www.tandfonline.com/doi/10.1080/19942060.2022.2073565

Интернэт

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

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