Comparative study of multilayer perceptron-stochastic gradient descent and gradient boosted trees for predicting daily suspended sediment load: The case study of the Mississippi River, U.S.-Reference-Cited by-同舟云学术

Comparative study of multilayer perceptron-stochastic gradient descent and gradient boosted trees for predicting daily suspended sediment load: The case study of the Mississippi River, U.S.

Published:2021-08 Issue:4 Volume:36 Page:512-523
ISSN:1001-6279
Container-title:International Journal of Sediment Research
language:en
Short-container-title:International Journal of Sediment Research

Author:

Shadkani Sadra,Abbaspour Akram,Samadianfard Saeed,Hashemi Sajjad,Mosavi Amirhosein,Band Shahab S.

Funder

Alexander von Humboldt-Stiftung

Publisher

Elsevier BV

Subject

Stratigraphy,Geology

Reference46 articles.

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4. Data-driven modelling in the context of sediment transport;Bhattacharya;Physics and Chemistry of the Earth,2005

5. A hybrid double feedforward neural network for suspended sediment load estimation;Chen;Water Resources Management,2016

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