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Marine Georesources & Geotechnology Volume 37, 2019 - Issue 6
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Original Articles

Modelling the cross-shore profiles of sand beaches using artificial neural networks

Isabel LópezDepartment of Civil Engineering, University of Alicante, San Vicente del Raspeig, Spain; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-5723-3046View further author information
ORCID Icon,
Luis AragonésDepartment of Civil Engineering, University of Alicante, San Vicente del Raspeig, Spain; View further author information
&
Yolanda VillacampaDepartment Applied Mathematics, University of Alicante, San Vicente del Raspeig, SpainView further author information
Pages 683-694 | Received 11 Mar 2018, Accepted 19 May 2018, Published online: 29 Aug 2018

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Huifen Liu, Peiyuan Lin, Chengchao Guo, Zhongbao Li & Xiao Qin. (2021) A shallow artificial neural network for mapping bond strength of soil nails. Marine Georesources & Geotechnology 39:3, pages 280-292.
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Hui Hu & Peiyuan Lin. (2020) Analysis of resistance factors for LRFD of soil nail pullout limit state using default FHWA load and resistance models. Marine Georesources & Geotechnology 38:3, pages 332-348.
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Articles from other publishers (2)

Wei Duan, Surya Sarat Chandra Congress, Guojun Cai, Zening Zhao, Songyu Liu, Xiaoqiang Dong, Ruifeng Chen & Huanhuan Qiao. (2022) Prediction of in situ state parameter of sandy deposits from CPT measurements using optimized GMDH-type neural networks. Acta Geotechnica 17:10, pages 4515-4535.
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fatemeh ghanbari, Mehdi Adjami & Soheil Ataei H.. (2019) An Analytical Study on the Formation of Submerged Bars in the Southern Coasts of Caspian Sea. International Journal of coastal and offshore engineering 3:3, pages 1-8.
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