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Research papers

ANN approaches for the prediction of bridge backwater using both field and experimental data

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Pages 53-62 | Received 20 Sep 2010, Accepted 10 Jan 2011, Published online: 10 Mar 2011

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Saba Shaghaghi, Hossein Bonakdari, Azadeh Gholami, Ozgur Kisi, Andrew Binns & Bahram Gharabaghi. (2019) Predicting the geometry of regime rivers using M5 model tree, multivariate adaptive regression splines and least square support vector regression methods. International Journal of River Basin Management 17:3, pages 333-352.
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Reza Piraei, Majid Niazkar, Seied Hosein Afzali & Andrea Menapace. (2023) Application of Machine Learning Models to Bridge Afflux Estimation. Water 15:12, pages 2187.
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Kimia Haji Amou Assar, Serter Atabay, Abdullah Gokhan Yilmaz & Kazi Parvez Fattah. (2021) Empirical analysis of backwater level due to skewed bridge constriction. Proceedings of the Institution of Civil Engineers - Water Management 174:1, pages 42-50.
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