Machine Learning-based Ocean Forecasting
Machine Learning-Based Ocean Forecasting is a computational forecasting approach that employs machine learning algorithms to model and predict oceanic states by learning patterns from observational and numerical data, distinguishing it from traditional physics-based ocean forecasting methods.
127
Publications
6.1K
Citations
487
Authors
213
Institutions
Publications per year
2017–2026
100
Parents
127
Application of neural networks and support vector machine for significant wave height prediction
Jadran Berbić, Eva Ocvirk, Dalibor Carević et al. · Oceanologia · 2017 · 168 citations · Full text
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213
China University of Petroleum, East China
Qingdao, China
6 h-index
16 publications
701 citations
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
Guangzhou, China
5 h-index
9 publications
554 citations

Ocean University of China
Qingdao, China
5 h-index
22 publications
767 citations
Ministry of Natural Resources
Beijing, China
5 h-index
9 publications
655 citations
Zhejiang Ocean University
Zhoushan, China
5 h-index
15 publications
603 citations

National University of Defense Technology
Changsha, China
4 h-index
14 publications
489 citations

Nanjing University of Information Science and Technology
Nanjing, China
4 h-index
15 publications
1K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
10 publications
932 citations
1–8 of 213
9 publications · 329 citations
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8 publications · 283 citations
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6 publications · 111 citations
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4 publications · 175 citations
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4 publications · 162 citations
4
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