Published in: 7th National Congress on Civil Engineering
COI code: NCCE07_1539
Paper Language: English
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Authors Comparison between ANN Models and Conventional Model for Flow DischargeKiyoumars Roshangar - Assistant professor, Faculty of Civil Engineering, Univ. of Tabriz, Tabriz, Iran
Reyhaneh Eskandari - M.Sc. graduate student, Faculty of Civil Engineering, Univ. of Tabriz, Tabriz, Iran
Fatemeh Vojoudi - M.Sc. graduate student, Faculty of Civil Engineering, Univ. of Tabriz, Tabriz, Iran
Abstract:Accurate flow discharge prediction is very important in planning, designing, operating and maintenance of water resources structures. Various models have been developed so far to identify the relation between discharge and stage. In this study, artificial intelligent approach and conventional flow discharge rating curve models are considered for predicting flow discharge (FD) in a natural river. Discharge and stage data obtained from Ahar Chai River in northwest Iran. The accuracy of the ANN models is compared with conventional model. The determination coefficient (DC), coefficient of correlation (R2) and mean normalize error (MNE) statistics are used for evaluating the accuracy of the models. Based on the comparison results, the ANN models are found to be superior alternative to the conventional model
Keywords:Flow discharge prediction, intelligent approach, conventional model, determination coefficient, coefficient of correlation, mean normalize error
COI code: NCCE07_1539
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Roshangar, Kiyoumars; Reyhaneh Eskandari & Fatemeh Vojoudi, 2013, Comparison between ANN Models and Conventional Model for Flow Discharge, 7th National Congress on Civil Engineering, زاهدان, دانشگاه سيستان و بلوچستان, https://www.civilica.com/Paper-NCCE07-NCCE07_1539.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: (Roshangar, Kiyoumars; Reyhaneh Eskandari & Fatemeh Vojoudi, 2013)
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