Discharge coefficient estimation of modified semi-cylindrical weirs using machine learning approaches

Based on the principles design of hydrofoil weirs, Modified Semi-Cylindrical Weirs (MSCWs) incorporate an innovative tangential ramp along the downstream crest contour, thereby significantly enhancing their performance compared to conventional semi-cylindrical weirs. A pivotal parameter in the calcu...

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Veröffentlicht in:	Stochastic environmental research and risk assessment 2024-08, Vol.38 (8), p.3177-3198
Hauptverfasser:	Fatahi-Alkouhi, Reza, Afaridegan, Ehsan, Amanian, Nosratollah
Format:	Artikel
Sprache:	eng
Schlagworte:	Aquatic Pollution Artificial neural networks Chemistry and Earth Sciences Comparative analysis Computational Intelligence Computer Science Correlation coefficient Correlation coefficients data collection Discharge coefficient Earth and Environmental Science Earth Sciences Environment Feature selection Hydrofoils Learning algorithms Machine learning Math. Appl. in Environmental Science Neural networks Original Paper Parameter modification Physics Polynomials Probability Theory and Stochastic Processes Regression analysis risk Root-mean-square errors Spline functions Statistical analysis Statistics for Engineering Support vector machines trees Waste Water Technology Water Management Water Pollution Control Weirs
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