Estimation of scour depth around submerged weirs using self-adaptive extreme learning machine

In this study, the equilibrium scour depth downstream of the weir (ds-a), the maximum scour depth downstream of the weir (ds-max), the equilibrium scour depth upstream of the weir (dus-a) and the maximum scour depth upstream of the weir (dus-max) were simulated around the submerged weirs using the s...

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Veröffentlicht in:	Journal of hydroinformatics 2019-11, Vol.21 (6), p.1082-1101
Hauptverfasser:	Rashki Ghaleh Nou, M., Azhdary Moghaddam, M., Shafai Bajestan, M., Azamathulla, H. Md
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial intelligence Artificial neural networks Back propagation Bridges Computer simulation Critical velocity Depth Dimensional analysis Hydraulic engineering Inflow Laboratories Learning algorithms Learning theory Mathematical models Model accuracy Modelling Monte Carlo simulation Neural networks Parameter sensitivity Parameters Principal components analysis Scour Scouring Sediments Sensitivity analysis Statistical methods Studies Support vector machines Uncertainty analysis Upstream Velocity Weirs
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