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Using artificial neural network (ANN) for prediction of sediment loads, application to the Mellah catchment, northeast Algeria

In this study, we present the performances of the best training algorithm in Multilayer Perceptron (MLP) neural networks for prediction of suspended sediment discharges in Mellah catchment. Time series data of daily suspended sediment discharge and water discharge from the gauging station of Boucheg...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Principais autores: Bouzeria Housseyn, Ghenim Abderrahmane N., Khanchoul Kamel
פורמט: Artigo
שפה:Inglês
יצא לאור: Polish Academy of Sciences 2017-06-01
סדרה:Journal of Water and Land Development
נושאים:
גישה מקוונת:http://www.degruyter.com/view/j/jwld.2017.33.issue-1/jwld-2017-0018/jwld-2017-0018.xml?format=INT
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