Suspended Sediment Load Prediction of River Systems: An Arti…
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- OpenAlex ID W6996882009
- Type Article
- Language EN
- Published 01 Mar 2011
- Source Digital Scholarship - UNLV (University o…
- Publisher University of Nevada, Reno
- Countries 1
- Institutions 4
- Added 10 Oct 2025
- Updated 14 Oct 2026
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Suspended Sediment Load Prediction of River Systems: An Artificial Neural Networks Approach
Article 2011 EN
Information on suspended sediment load is crucial to water management and environmental protection. Suspended sediment loads for three major rivers (Mississippi, Missouri and Rio Grande) in USA are estimated using artificial neural network (ANN) modeling approach. A multilayer perceptron (MLP) ANN with an error back propagation algorithm, using historical daily and weekly hydroclimatological data…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Melesse, A. M. | Florida International Universi… (US) | — |
| 2 | Ahmad, Sajjad | University of Nevada, Las Vega… (US) | — |
| 3 | Michael E. McClain | Florida International Universi… (US) | |
| 4 | Wang, X. | Tarleton State University (US) | — |
| 5 | Lim, Y. H. | University of North Dakota (US) | — |
Data: OpenAlex