Prediction of shear stress induced by shoaling internal solitary waves based on machine learning method-Reference-Cited by-同舟云学术

Prediction of shear stress induced by shoaling internal solitary waves based on machine learning method

Published:2022-10-21 Issue:2 Volume:41 Page:221-232
ISSN:1064-119X
Container-title:Marine Georesources & Geotechnology
language:en
Short-container-title:Marine Georesources & Geotechnology

Author:

Tian Zhuangcai¹²³^ORCID,Liu Hanlu²,Zhang Shaotong⁴,Wu Jinran⁵,Tian Jiahao¹

Affiliation:

1. State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, P. R. China

2. Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Ocean University of China, Qingdao, P. R. China

3. Key Laboratory of Coastal Science and Integrated Management, Ministry of Natural Resources, Qingdao, P. R. China

4. Key Laboratory for Submarine Geosciences and Prospecting Techniques (Ministry of Education), College of Marine Geosciences, Ocean University of China, Qingdao, China

5. School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia

Publisher

Informa UK Limited

Subject

Ocean Engineering,Geotechnical Engineering and Engineering Geology,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.1080/1064119X.2022.2136045

Reference52 articles.

1. Air quality forecasting using artificial neural networks with real time dynamic error correction in highly polluted regions

2. Experimental investigation of sediment resuspension beneath internal solitary waves of depression

3. Boundary-layer-separation-driven vortex shedding beneath internal solitary waves of depression

4. Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

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