Sediment assessment for a watershed in arid region via neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s12046-019-1199-5.pdf
Reference19 articles.
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2. Kisi O 2004 Multi-layer perceptrons with Levenberg Marquardt training algorithm for suspended sediment concentration prediction and estimation. Hydrological Sciences Journal 49(6): 1025–1040 https://doi.org/10.1623/hysj.49.6.1025.55720
3. Minns A W and Hall M J 1996 Artificial neural networks as rainfall runoff models. Hydrological Science Journal 41(3): 399–417
4. Fernando D A K and Jayawardena A W 1998 Runoff forecasting using RBF networks with OLS algorithm. Journal of Hydrologic Engineering 3(3): 203–209 https://doi.org/10.1061/(asce)1084-0699(1998)3:3(203)
5. Cigizoglu H K 2003 Incorporation of ARMA models into flow forecasting by artificial neural networks. Environmetrics 14(4): 417–427 https://doi.org/10.1002/env.596
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