Papyrus Press Advance Researches in Civil Engineering 2645-7229 1 4 2019 11 01 Application of Artificial Intelligence Models to Estimate Discharge over Semicircular Weirs 19 31 96032 10.30469/arce.2019.96032 EN Majid Niazkar 1Ph.D. of Civil Engineering, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran Naser Talebbeydokhti Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran Saeid Hosein Afzali Associate Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran Journal Article 2019 06 30 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. https://www.arce.ir/article_96032_e882bacd5b8026fa8e0e4d99c1f86731.pdf