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首页|期刊导航|中国海洋大学学报(自然科学英文版)|The Acoustic Attenuation Prediction for Seafloor Sediment Based on in-situ Data and Machine Learning Methods

The Acoustic Attenuation Prediction for Seafloor Sediment Based on in-situ Data and Machine Learning Methods

WANG Jingqiang HOU Zhengyu CHEN Yinglin LI Guanbao KAN Guangming XIAO Peng LI Zhenglin MO Dinghao HUANG Jingyi

中国海洋大学学报(自然科学英文版)2025,Vol.24Issue(1):95-102,8.
中国海洋大学学报(自然科学英文版)2025,Vol.24Issue(1):95-102,8.DOI:10.1007/s11802-025-5783-5

The Acoustic Attenuation Prediction for Seafloor Sediment Based on in-situ Data and Machine Learning Methods

The Acoustic Attenuation Prediction for Seafloor Sediment Based on in-situ Data and Machine Learning Methods

WANG Jingqiang 1HOU Zhengyu 2CHEN Yinglin 2LI Guanbao 1KAN Guangming 1XIAO Peng 2LI Zhenglin 2MO Dinghao 2HUANG Jingyi2

作者信息

  • 1. Key Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,MNR,Qingdao 266061,China||Laboratory for Marine Geology,Laoshan Laboratory,Qingdao 266237,China
  • 2. School of Ocean Engineering and Technology,Sun Yat-Sen University,Zhuhai 519000,China
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摘要

关键词

in-situ measurement/attenuation/seafloor sediment/machine learning methods

Key words

in-situ measurement/attenuation/seafloor sediment/machine learning methods

引用本文复制引用

WANG Jingqiang,HOU Zhengyu,CHEN Yinglin,LI Guanbao,KAN Guangming,XIAO Peng,LI Zhenglin,MO Dinghao,HUANG Jingyi..The Acoustic Attenuation Prediction for Seafloor Sediment Based on in-situ Data and Machine Learning Methods[J].中国海洋大学学报(自然科学英文版),2025,24(1):95-102,8.

基金项目

This study was funded by the Basic Scientific Fund for National Public Research Institutes of China(No.2022 S01),the National Natural Science Foundation of China(Nos.42176191,42049902,and U22A2012),the Shandong Provincial Natural Science Foundation,China(No.ZR20 22YQ40),the National Key R&D Program of China(No.2021YFF0501202),the Southern Marine Science and En-gineering Guangdong Laboratory(Zhuhai)(No.SML2023 SP232),and the Fundamental Research Funds for the Cen-tral Universities,Sun Yat-sen University(No.241gqb006).Data acquisition and sample collections were supported by the National Natural Science Foundation of China Open Research Cruise(Cruise No.NORC2021-02+NORC2021-301),funded by the Shiptime Sharing Project of the Na-tional Natural Science Foundation of China.This cruise was conducted onboard R/V XiangYangHong 18 by the First Institute of Oceanography,Ministry of Natural Re-sources,China. (No.2022 S01)

中国海洋大学学报(自然科学英文版)

1672-5182

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