Application of novel data mining algorithms in prediction of discharge and end depth in trapezoidal sections

Author:

Khosravinia Payam,Nikpour Mohammad Reza,Kisi Ozgur,Yaseen Zaher Mundher

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference67 articles.

1. Abraham, A., Steinberg, D., Philip, N.S. 2001. Rainfall forecasting using soft computing models and multivariate adaptive regression splines. IEEE Transactions on Systems, Man, and Cybernetics (Special Issue). Fusion of Soft Computing and Hard Computing in Industrial Applications 1, 1–6.

2. Solving trapezoidal free overfall by inserting a brink pressure effect into sharp-crested weir theory;Abrari;J. Irrig. Drain. Eng.,2018

3. Quasi-theoretical end-depth-discharge relationship for rectangular channels;Ahmad;J. Irrig. Drain. Eng.,2003

4. Flow measurements with trapezoidal free overfall;Ahmad;ISH J. Hydraul. Eng.,2001

5. Quasi-theoretical end-depth discharge relationship for trapezoidal channels;Ahmad;J. Hydrol.,2012

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