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Prediction of the shear wave speed of seafloor sediments in the northern South China Sea based on an XGBoost algorithm

Based on data on the shear wave speed and physical properties of the shallow sediment samples collected in the northwest South China Sea, the hyperparameter selection and contribution of the characteristic factors of the machine learning model for predicting the shear wave speed of seafloor sediment...

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Principais autores: Wenjing Meng, Xiangmei Meng, Jingqiang Wang, Guanbao Li, Baohua Liu, Guangming Kan, Junjie Lu, Lihong Zhao, Pengyao Zhi
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Marine Science
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Acceso en liña:https://www.frontiersin.org/articles/10.3389/fmars.2024.1307768/full
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