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

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...

Full description

Bibliographic Details
Main Authors: Amin Gharehbaghi, Redvan Ghasemlounia, Ehsan Afaridegan, AmirHamzeh Haghiabi, Vishwanadham Mandala, Hazi Mohammad Azamathulla, Abbas Parsaie
Format: Article
Language:English
Published: IWA Publishing 2023-07-01
Series:Journal of Hydroinformatics
Subjects:
discharge coefficient
intelligent optimization models
joukowsky transform
machine-learning models
open-channel flow
streamlined weirs
Online Access:http://jhydro.iwaponline.com/content/25/4/1513

Internet

http://jhydro.iwaponline.com/content/25/4/1513

Similar Items