Application of LS-SVM, ANN, WNN and GEP in rainfall-runoff modeling of Kiyav-Chay River

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NIKPOUR MOHAMMAD REZA; SANIKHANI HADI; Mahmodi Babelan Sajad; Mohammadi Aref

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Journal: IRANIAN JOURNAL OF ECOHYDROLOGY Year:2017 | Volume:4 | Issue:2 Page(s): 627-639

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Title

Application of LS-SVM, ANN, WNN and GEP in rainfall-runoff modeling of Kiyav-Chay River

Author(s)

NIKPOUR MOHAMMAD REZA | SANIKHANI HADI | Mahmodi Babelan Sajad | Mohammadi Aref | Issue Writer Certificate

Keywords

Rainfall-RunoffQ2

Gene Expression ProgrammingQ2

least square-support vector machinesQ2

Artificial neural networksQ2

hybrid of wavelet-artificial neural networksQ2

Abstract

Streamflow forecasting is necessary for water resources management and planning in rivers, lakes, reservoirs and protection of river banks during flood. In this study, different soft computing models including Artificial neural networks (ANN), the hybrid of wavelet-Artificial neural networks (WANN), Gene Expression Programming (GEP) and least square-support vector machines (LS-SVM) were utilized for river flow estimation of Khiav-Chay. Statistical measures and ANOVA test were used for evaluation of applied models. The results indicated that WANN model was the best model with the highest correlation coefficient (R=0. 877) and the lowest root mean squared error (RMSE=0. 696) and Nash Sutcliff coefficient (NS=0. 767) in validation phase. The results of ANOVA test were in agreement with statistical criteria values and WANN model with the lowest F statistic (F=0. 11) and the highest significant resultant (0. 75) was selected as the best model. Furthermore, in estimation of maximum discharge, WANN with mean relative error of 30. 19% has the minimum error of estimation compared to other models.

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APA: Copy

NIKPOUR, MOHAMMAD REZA, SANIKHANI, HADI, Mahmodi Babelan, Sajad, & Mohammadi, Aref. (2017). Application of LS-SVM, ANN, WNN and GEP in rainfall-runoff modeling of Kiyav-Chay River. IRANIAN JOURNAL OF ECOHYDROLOGY, 4(2 ), 627-639. SID. https://sid.ir/paper/254072/en

Vancouver: Copy

NIKPOUR MOHAMMAD REZA, SANIKHANI HADI, Mahmodi Babelan Sajad, Mohammadi Aref. Application of LS-SVM, ANN, WNN and GEP in rainfall-runoff modeling of Kiyav-Chay River. IRANIAN JOURNAL OF ECOHYDROLOGY[Internet]. 2017;4(2 ):627-639. Available from: https://sid.ir/paper/254072/en

IEEE: Copy

MOHAMMAD REZA NIKPOUR, HADI SANIKHANI, Sajad Mahmodi Babelan, and Aref Mohammadi, “Application of LS-SVM, ANN, WNN and GEP in rainfall-runoff modeling of Kiyav-Chay River,” IRANIAN JOURNAL OF ECOHYDROLOGY, vol. 4, no. 2 , pp. 627–639, 2017, [Online]. Available: https://sid.ir/paper/254072/en

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