Gene Expression Programming (GEP) to predict coefficient of discharge for oblique side weir
نویسندگان
چکیده
منابع مشابه
ِِDischarge Coefficient in Oblique Side Weirs
Side weirs are flow diversion devices that are widely used in irrigation, drainage and urban sewage systems. The present study focuses on the investigation of the effect of oblique side weirs on the discharge coefficient of a side weir under subcritical flow condition in rectangular channels. In this study 106 laboratory tests were conducted and the results were analyzed to find out the influen...
متن کاملGene expression programming to predict the discharge coefficient in rectangular side weirs
In this study, Gene expression programming (GEP) is employed as a new method for estimating the side weir discharge coefficient. The accuracy of existing equations in evaluating the side weir discharge coefficient is first examined. Afterward, taking into consideration the dimensionless parameters that affect the estimation of this parameter and sensitivity analysis, five different models are p...
متن کاملِِdischarge coefficient in oblique side weirs
side weirs are flow diversion devices that are widely used in irrigation, drainage and urban sewage systems. the present study focuses on the investigation of the effect of oblique side weirs on the discharge coefficient of a side weir under subcritical flow condition in rectangular channels. in this study 106 laboratory tests were conducted and the results were analyzed to find out the influen...
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In this study, the discharge coefficient of side weirs located on converging channels was simulated for the first time using a new method of Extreme Learning Machine (ELM). To examine the accuracy of the numerical model, the Monte Carlo simulations were used and the experimental values validation was conducted by the k-fold cross validation method. Then, the input parameters were detected for s...
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In this study, the discharge coefficient of the circular side orifices was predicted using a new hybrid method. Combinations made in this study were divided into two sections: 1) the combination of two algorithms including Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) and providing the PSOGA algorithm 2) using the PSOGA algorithm in order to optimize the Adaptive Neuro Fuzzy Infe...
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ژورنال
عنوان ژورنال: Applied Water Science
سال: 2020
ISSN: 2190-5487,2190-5495
DOI: 10.1007/s13201-020-01211-5