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title

Predictive Modeling of Discharge in compound open channel by Support vector machine technique

Credit to Download: 1 | Page Numbers 9 | Abstract Views: 190
Year: 2015
COI code: IREC10_015
Paper Language: English

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Authors Predictive Modeling of Discharge in compound open channel by Support vector machine technique

Abbas Parsaie - Ph.D. Candidate of hydro structures, Department of water Engineering, Lorestan University, KhorramAbad, Iran
HojattAllah Yonesi - Assistant Professor of Water Engineering, Lorestan University, KhorramAbad, Iran
Shadi najafian - M.Sc. Candidate of hydro structures, Department of water Engineering, Lorestan University, KhorramAbad, Iran

Abstract:

Modeling of river phonemes is one of the main parts in Hydraulic engineering studies. Predicting the discharge in the compound open channel is the main subject of the river engineer researches. In this study the support vector machine (SVM) technique is used to predict the discharge in the compound open channel. The result of the error indexes shows that the best accuracy of the SVM by correlation coefficient0.99is related to the SVM model which includes the radial basis function (RBF) as kernel function. During the SVM model process obtained 0.00005 for the gamma coefficient, epsilon is equal to 0.1 and C=1.

Keywords:

Compound open channel, Support vector machine, discharge prediction, river hydraulic

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https://www.civilica.com/Paper-IREC10-IREC10_015.html
COI code: IREC10_015

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Parsaie, Abbas; HojattAllah Yonesi & Shadi najafian, 2015, Predictive Modeling of Discharge in compound open channel by Support vector machine technique, 10th International River Engineering Conference, اهواز, دانشگاه شهيد چمران اهواز, https://www.civilica.com/Paper-IREC10-IREC10_015.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Parsaie, Abbas; HojattAllah Yonesi & Shadi najafian, 2015)
Second and more: (Parsaie; Yonesi & najafian, 2015)
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