Forecasting suspended sediment load using regularized neural network: Case study of the Isser River (Algeria)
In the management of water resources in different hydro-systems it is important to evaluate and predict the sediment load in rivers. It is difficult to obtain an effective and fast estimation of sediment load by artificial neural network without avoiding over-fitting of the training data. The presen...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2016-06-01
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| Series: | Journal of Water and Land Development |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/jwld.2016.29.issue-1/jwld-2016-0014/jwld-2016-0014.xml?format=INT |