Present: ارايه پوستري
COI code: ICSAU05_0252
Paper Language: English
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Authors Estimation of scour depth downstream of sudden diverging side walls channels via SVM and ANFISKiyoumars Roushangar - Associate Professor, Department of Civil Engineering, University of Tabriz, Tabriz, Iran,
Roghayeh Ghasempour - M.Sc, Department of Civil Engineering, University of Tabriz, Tabriz, Iran,
Hassan sani - M.Sc, Department of Civil Engineering, University of Tabriz, Tabriz, Iran,
Abstract:An accurate estimation of scour depth around hydraulic structures like channels with sudden diverging side walls is of great importance. Numerous of studies has been done about scouring at downstream of hydraulic structure. Therefore, there are several semi-empirical equations to predict scour depth, however, acceptable results have not been provided yet. In the current paper, the performance of the Support Vector Machine (SVM) and Adapted Neural Fuzzy Inference System (ANFIS) approaches were assessed in scour depth prediction at downstream of sudden diverging side walls channels with sill. According to the obtained results, the SVM and ANFIS models were found to be more reliable. The results indicated that in estimating the scour depth at downstream of sudden diverging side walls channels with artificial intelligence approaches a good agreement could be seen between observed and predicted values
Keywords:Diverging side walls, SVM, sill, Scour depth
COI code: ICSAU05_0252
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Roushangar, Kiyoumars; Roghayeh Ghasempour & Hassan sani, 2017, Estimation of scour depth downstream of sudden diverging side walls channels via SVM and ANFIS, 5th international congress of structure, architecture and urban development, تهران, دبيرخانه دايمي كنفرانس, https://www.civilica.com/Paper-ICSAU05-ICSAU05_0252.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: (Roushangar, Kiyoumars; Roghayeh Ghasempour & Hassan sani, 2017)
Second and more: (Roushangar; Ghasempour & sani, 2017)
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Type: state university
Paper No.: 17284
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