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A comparison of artificial intelligence approaches in predicting discharge coefficient of streamlined weirs

In the present research, three different data-driven models (DDMs) are developed to predict the discharge coefficient of streamlined weirs (Cdstw). Some machine-learning methods (MLMs) and intelligent optimization models (IOMs) such as Random Forest (RF), Adaptive Neuro-Fuzzy Inference System (ANFIS...

Celý popis

Uloženo v:
Hlavní autoři: Amin Gharehbaghi, Redvan Ghasemlounia, Ehsan Afaridegan, AmirHamzeh Haghiabi, Vishwanadham Mandala, Hazi Mohammad Azamathulla, Abbas Parsaie
Médium: Artigo
Jazyk:Inglês
Vydáno: IWA Publishing 2023-07-01
Edice:Journal of Hydroinformatics
Témata:
discharge coefficient
intelligent optimization models
joukowsky transform
machine-learning models
open-channel flow
streamlined weirs
On-line přístup:http://jhydro.iwaponline.com/content/25/4/1513
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