Prediction of discharge coefficient of the trapezoidal broad-crested weir flow using soft computing techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08615-9.pdf
Reference50 articles.
1. Sargison JE, Percy A (2009) Hydraulics of broad-crested weirs with varying side slopes. J Irrig Drain Eng 135(1):115–118. https://doi.org/10.1061/(ASCE)0733-9437(2009)135:1(115)
2. Emiroglu ME, Agaccioglu H, Kaya N (2011) Discharging capacity of rectangular side weirs in straight open channels. Flow Meas Instrum 22(4):319–330. https://doi.org/10.1016/j.flowmeasinst.2011.04.003
3. Mehboudi A, Attari J, Hosseini S (2016) Experimental study of discharge coefficient for trapezoidal piano key weirs. Flow Meas Instrum 50:65–72. https://doi.org/10.1016/j.flowmeasinst.2016.06.005
4. Li S, Yang J, Ansell A (2021) Discharge prediction for rectangular sharp-crested weirs by machine learning techniques. Flow Meas Instrum 79:1–9. https://doi.org/10.1016/j.flowmeasinst.2021.101931
5. Saffar S, Babarsad MS, Shooshtari MM, Riazi R (2021) Prediction of the discharge of side weir in the converge channels using artificial neural networks. Flow Meas Instrum 78:1–9. https://doi.org/10.1016/j.flowmeasinst.2021.101889
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