Predicting the side weir discharge coefficient using the optimized neural network by genetic algorithm

Side weir is one of the structures which are widely used in water engineering projects So study on the flow characteristics especially discharge coefficient (

Keywords:

Side weir discharge coefficient , Artificial , Multilayer perceptron neural network , Genetic algorithm , Optimization

Authors

a Parsaie

Ph.D. student of hydro structures, Department of water Engineering, Lorestan University, Iran.Corresponding author; Ph.D. student of hydro structures, Department of water Engineering, Lorestan University, Iran.

a.h Haghiabi

Associate professor of water Engineering Lorestan University,KhoramAbad, Iran.

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https://civilica.com/doc/406163

شناسه ملی سند علمی:

JR_SJPAS-3-3_001

تاریخ نمایه سازی: 15 آذر 1394

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Parsaie, a and Haghiabi, a.h,1392,Predicting the side weir discharge coefficient using the optimized neural network by genetic algorithm,https://civilica.com/doc/406163

Scientometrics

The specifications of the publisher center of this Paper are as follows:

Ranking of University of Lorestan

Type of center: دانشگاه دولتی

Paper count: 10,378

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