Sofichay River Runoff Modeling using Support Vector Machine and Artificial Neural Network

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Akhoni Pourhosseini Fateme; DARBANDI SABEREH

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Journal Paper

Paper Information

Journal: JOURNAL OF WATERSHED MANAGEMENT RESEARCH Year:2018 | Volume:9 | Issue:17 Page(s): 57-66

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Information Journal Paper

Title

Sofichay River Runoff Modeling using Support Vector Machine and Artificial Neural Network

Author(s)

Akhoni Pourhosseini Fateme | DARBANDI SABEREH | Issue Writer Certificate

Keywords

Artificial Neural NetworkQ1

Gamma TestQ2

RunoffQ1

SofiChay RiverQ2

Support Vector MachineQ1

Abstract

Accurate simulation Runoff process can have a significant role in water resources management and related issues. The inherent complexity of this process makes difficult the use of physical and numerical models. In recent years, application of intelligent models is increased a powerful tool in hydrological modeling. The aim of this study was the application of the Gamma Test to select the optimal combination of input variables for Runoff modeling in Sofi Chay. Streamflow modeling was performed based on the optimum number of the selected variables using the Artificial Neural Network (ANN) and Support Vector Machine (SVM) methods. Gamma Test results showed that monthly Runoff with six antecedent Runoff values provide better results to predict. Runoff simulation using Support Vector Machines and Artificial Neural Network models also showed that the best input structure will be delayed until six to predict of next month Runoff. Among to models with the same input structure, Support Vector Machine have relatively high efficiency compared to Artificial Neural Network.

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APA: Copy

Akhoni Pourhosseini, Fateme, & DARBANDI, SABEREH. (2018). Sofichay River Runoff Modeling using Support Vector Machine and Artificial Neural Network. JOURNAL OF WATERSHED MANAGEMENT RESEARCH, 9(17 ), 57-66. SID. https://sid.ir/paper/370412/en

Vancouver: Copy

Akhoni Pourhosseini Fateme, DARBANDI SABEREH. Sofichay River Runoff Modeling using Support Vector Machine and Artificial Neural Network. JOURNAL OF WATERSHED MANAGEMENT RESEARCH[Internet]. 2018;9(17 ):57-66. Available from: https://sid.ir/paper/370412/en

IEEE: Copy

Fateme Akhoni Pourhosseini, and SABEREH DARBANDI, “Sofichay River Runoff Modeling using Support Vector Machine and Artificial Neural Network,” JOURNAL OF WATERSHED MANAGEMENT RESEARCH, vol. 9, no. 17 , pp. 57–66, 2018, [Online]. Available: https://sid.ir/paper/370412/en

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