A hybrid method for forecasting river-suspended sediments in Iran

Estimation of sediment mass carried by rivers is an important issue in Hydrological Sciences. The main purpose of this research was to find an appropriate method to compute sediment discharge. Some machine-learning approaches have been used to forecast river-suspended sediments, correctly. One of th...

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Veröffentlicht in:	International journal of river basin management 2017-10, Vol.15 (4), p.453-460
Hauptverfasser:	Tavakoli Targhi, Alireza, Abbaszadeh, Sadegh, Arabasadi, Zeinab
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial neural network Artificial neural networks Correlation coefficient Correlation coefficients cuckoo optimization algorithm discharge Fluvial sediments Forecasting Hydrology Learning algorithms Machine learning Mathematical models Methods Neural networks River forecasting Rivers Sediment Sediment discharge Sediments Suspended sediments
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