Application of Artificial Intelligence models to estimate discharge over semicircular weirs

سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 457

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شناسه ملی سند علمی:

NCCE11_231

تاریخ نمایه سازی: 9 شهریور 1398

چکیده مقاله:

Weirs are one of the widely used hydraulic structures for measuring discharge in open channels. This study applies two artificial intelligence models named artificial neural network (ANN) and genetic programming (GP) to predict discharge flowing over semicircular weirs with different openings including sharp and semicircular crests. The considered data base was selected from the literature. The results of AI models were compared with those of two empirical formulas, which have been developed based on the same data for this purpose. Four evaluation criteria were considered for comparing the estimated discharges. The results obviously indicate that GP outperforms others based on the considered criteria.

کلیدواژه ها:

Semicircular weirs ، discharge artificial intelligence models ، artificial neural network ، genetic programming

نویسندگان

Majid Niazkar,

Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran

Nasser Talebbeydokhti,

Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran

Seied Hosein Afzali

Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran