Evaluation of shape factor impact on discharge coefficient of side orifices using boost simulation model with extreme learning machine data-driven
Author:
Affiliation:
1. Department of Water Science and Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamadan, Iran
2. Department of Water Engineering Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
Funder
The author(s) reported that there is no funding associated with the work featured in this article
Publisher
Informa UK Limited
Subject
Neuroscience (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2021.2017047
Reference38 articles.
1. COMPUTATION OF DISCHARGE THROUGH SIDE SLUICE GATE USING GENE-EXPRESSION PROGRAMMING
2. Sensitivity analysis of the factors affecting the discharge capacity of side weirs in trapezoidal channels using extreme learning machines
3. A Highly Efficient Gene Expression Programming Model for Predicting the Discharge Coefficient in a Side Weir along a Trapezoidal Canal
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