Predicting the side weir discharge coefficient using the optimized neural network by genetic algorithm
عنوان مقاله: Predicting the side weir discharge coefficient using the optimized neural network by genetic algorithm
شناسه ملی مقاله: JR_SJPAS-3-3_001
منتشر شده در شماره 3 دوره 3 فصل March در سال 1392
شناسه ملی مقاله: JR_SJPAS-3-3_001
منتشر شده در شماره 3 دوره 3 فصل March در سال 1392
مشخصات نویسندگان مقاله:
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.
خلاصه مقاله:
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.
Side weir is one of the structures which are widely used in water engineering projects So study on the flow characteristics especially discharge coefficient (
کلمات کلیدی: Side weir discharge coefficient , Artificial , Multilayer perceptron neural network , Genetic algorithm , Optimization
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/406163/