Prediction of bed load sediments using different artificial neural network models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Architecture,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11709-019-0600-0.pdf
Reference66 articles.
1. Francalanci F, Solari L, Toffolon M. Local high-slope effects on sediment transport and fluvial bed form dynamics. Water Resources Research, 2009, 45: W05426
2. Camenen B, Larson M. A general formula for noncohesive suspended sediment transport. Journal of Coastal Research, 2008, 24(3): 615–627
3. Helton J C, Johnson J D, Sallaberry C J, Storlie C B. Survey of sampling based methods for uncertainty and sensitivity analysis. Reliability Engineering & System Safety, 2006, 91(10–11): 1175–1209
4. Pektas A O, Dogan E. Prediction of bed load via suspended sediment load using soft computing methods. Geofizika, 2015, 32(1): 27–46
5. Ma H, Nittrouer J A, Naito K, Fu X, Zhang Y, Moodie A J, Wang Y, Wu B, Parker G. The exceptional sediment load of fine-grained dispersal systems: Example of the Yellow River, China. Science Advances, 2017, 3(5): e1603114
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