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International Journal of River Basin Management Volume 16, 2018 - Issue 4
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Research Articles

Bagged neural network for estimating the scour depth around pile groups

Rashed HosseiniSari Agricultural Sciences and Natural Resources University, Sari, IranCorrespondence[email protected]
,
Ramin FazloulaSari Agricultural Sciences and Natural Resources University, Sari, Iran
,
Mojtaba SaneieSoil Conservation and Watershed Management Research Institute (SCWMRI), Tehran, Iran;Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran
&
Ata AminiKurdistan Agricultural and Natural Resources Research and Education Center, AREEO, Sanandaj, IranORCID Iconhttp://orcid.org/0000-0001-9358-185X
ORCID Icon
Pages 401-412 | Received 11 May 2017, Accepted 22 Aug 2017, Published online: 18 Dec 2017

Citations (3)

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Read on this site (2)

Mahesh Pal. (2022) Deep neural network based pier scour modeling. ISH Journal of Hydraulic Engineering 28:sup1, pages 80-85.
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Ata Amini, Shahriar Hamidi, Ataollah Shirzadi, Javad Behmanesh & Shatirah Akib. (2021) Efficiency of artificial neural networks in determining scour depth at composite bridge piers. International Journal of River Basin Management 19:3, pages 327-333.
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Articles from other publishers (1)

Ahmad Abbasi, Seyed Masoud Taghvaei & Hamed Sarkardeh. (2018) Numerical Study on Effect of Coastal Pile Arrangements on Wave Characteristics. Journal of Marine Science and Application 17:4, pages 510-518.
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