Intelligent prediction of wave loads based on multi-source data-driven methods

Author:

Chen Shuai12ORCID,Jiang Caixia12,Wang Ziyuan1,Zhang Fan12,Zhao Nan12,Geng Yanchao12,Wang Yitao12

Affiliation:

1. China Ship Scientific Research Center, Wuxi, People’s Republic of China

2. National Key Laboratory of Ship Stuctional Satety, Wuxi, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Reference35 articles.

1. Abadi M, Barham P, Chen J, Chen Z, Davis A, Dean J, Devin M, Ghemawat S, Irving G, Isard M. 2016. Tensorflow: a system for large-scale machine learning. Savannah, Georgia: USENIX Association.

2. Chao L. 2021. Research on ship wave load prediction methods based on long and short term memory algorithms. Harbin: Harbin Engineering University.

3. Intelligent prediction method for linear wave load based on deep neural network;Chen S;J Coast Res,2023

4. Dahl GE, Sainath TN, Hinton GE. 2013. Improving deep neural networks for LVCSR using rectified linear units and dropout. 2013 IEEE international conference on acoustics, speech and signal processing. IEEE; p. 8609-8613.

5. Dai Y, Shen J, Song J. 2007. Ship wave load. Beijing: National Defense Industry Press.

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