Evaluation of SVM and nonlinear regression models for predicting the discharge coefficient of side piano key weirs in irrigation and drainage networks

Document Type : Original Article

Authors

1 Ms.c Student, Irrigation and Drainage Engineering Department, Abouraihan Campus, University of Tehran

2 Assistant Professor, Irrigation and Drainage Engineering Department, Abouraihan Campus, University of Tehran

3 - Assoc. Prof., Water Structures Engineering , Soil Conservation and Watershed Management Research Institute

4 Assistant. Professor, Soil Conservation and Watershed Management Research Institute, Tehran, Iran,

Abstract

Given the problems with incorporating common weirs into in irrigation and drainage, employing such weirs can be useful to overcome the difficulties resulting from linear weirs. A total of 289 data were carried out as control tests on piano key weirs type B. In this research, application and the performance of two models including SVM model and nonlinear regression models for estimation of the piano key weirs and discharge coefficient was studied. The SVM model was programmed using MATLAB and a nonlinear regression model was programmed using DATA FIT. Considering the results from the two studied models, it was found that SVM and nonlinear regression models are superior in estimating the discharge coefficient based on experimental data. The SVM model was the most accurate among the nonlinear regression models. Then analytical evaluation was made by using two models for determination of weir discharge coefficient. Statistical analysis of the results showed that SVM model with the least amount of RMSE and R^2 is the most reliable method in comparison to the other.

Keywords

References

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Iranian Journal of Irrigation & Drainage
Volume 12, Issue 4 - Serial Number 70
November and December 2018
Pages 994-1003

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