海洋湖沼学报（英文版）2026，Vol.44Issue(3)：963-977,15.DOI:10.1007/s00343-025-5119-8
Prediction of in situ seafloor sediment sound speed with machine learning
Prediction of in situ seafloor sediment sound speed with machine learning
Mujun CHEN 1Qingfeng HUA 2Siqi WU 3Xiaobo ZHANG 4Linqing ZHANG 5Xinfeng HU 3Xiangmei MENG 5Guangming KAN 6Siyou TONG 7Jingqiang WANG 2Guanbao LI 2Baohua LIU8
作者信息
- 1. College of Marine Geoscience,Ocean University of China,Qingdao 266100,China||Key Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,China
- 2. Key Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Laboratory for Marine Geology,Qingdao Marine Science and Technology Center,Qingdao 266237,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,China
- 3. Key Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,China||Qingdao Innovation and Development Base of Harbin Engineering University,Qingdao 266000,China
- 4. Shandong University of Science and Technology,Qingdao 266590,China
- 5. Key Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,China
- 6. Key Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China||Laboratory for Marine Geology,Qingdao Marine Science and Technology Center,Qingdao 266237,China||Key Laboratory of Submarine Acoustic Investigation and Application of Qingdao(Preparatory),Qingdao 266061,China||Qingdao Innovation and Development Base of Harbin Engineering University,Qingdao 266000,China
- 7. College of Marine Geoscience,Ocean University of China,Qingdao 266100,China
- 8. Laboratory for Marine Geology,Qingdao Marine Science and Technology Center,Qingdao 266237,China
- 折叠
摘要
关键词
seafloor sediment/sound speed/in situ/machine learning/East China Sea/prediction modelKey words
seafloor sediment/sound speed/in situ/machine learning/East China Sea/prediction model引用本文复制引用
Mujun CHEN,Qingfeng HUA,Siqi WU,Xiaobo ZHANG,Linqing ZHANG,Xinfeng HU,Xiangmei MENG,Guangming KAN,Siyou TONG,Jingqiang WANG,Guanbao LI,Baohua LIU..Prediction of in situ seafloor sediment sound speed with machine learning[J].海洋湖沼学报（英文版）,2026,44(3):963-977,15.基金项目
Supported by the National Natural Science Foundation of China(Nos.u2006202,42376076,42074140,42106072)and the Shandong Province Higher Education Youth Innovation and Technology Support Program(No.2024KJG033) （Nos.u2006202,42376076,42074140,42106072）
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 National Natural Science Foundation of China. （Cruise No.NORC2021-02+NORC2021-301）
