Modeling and Estimating Flow Rate in SMBF Flumes using Soft Computation Models

Modeling and Estimating Flow Rate in SMBF Flumes using Soft Computation Models

In the present study, the flow rate in flues containing lateral semi-cylinders (SMBF) was simulated and estimated under free and submerged conditions using back vector machine models (SVM), spin multivariate adaptive regression (MARS), and multilayer artificial neural network (MLPNN) model. In free...

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Bibliographic Details
Main Authors: B. Shahinejad, A. Parsaei, H. Yonesi, Z. Shamsi, A. Arshia
Format: Article
Language:fas
Published: Isfahan University of Technology 2023-03-01
Series:علوم آب و خاک
Subjects:
artificial neural network
smbf flumes
water transfer channel
support vector machine
side half cylinders
Online Access:http://jstnar.iut.ac.ir/article-1-4246-en.html

Internet

http://jstnar.iut.ac.ir/article-1-4246-en.html

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