Chinese Journal of Ship Research, Volume. 19, Issue 6, 303(2024)

Ship track prediction based on Bayesian optimization in temporal convolutional networks

Jinyuan LI1... Faxin ZHU1, Xianbin TENG2 and Qilin BI2 |Show fewer author(s)
Author Affiliations
  • 1School of Ship and Marine, Zhejiang Ocean University, Zhoushan 316022, China
  • 2College of Marine Engineering, Guangzhou Maritime College, Guangzhou 510725, China
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    References(12)

    [3] [3] CHEN Y Y, YANG S H, SUO Y F, et al. Ship track prediction based on DLGWOSVR[JOL]. Scientific Programming. (20210101) [ 20240323]. doi: 10.115520219085617.

    [4] [4] ZHANG Z Y, NI G X, XU Y G. Ship trajecty prediction based on LSTM neural wk[C]Proceedings of 2020 IEEE 5th Infmation Technology Mechatronics Engineering Conference. Chongqing: IEEE, 2020: 1356−1364.

    [11] [11] BAI S J, KOLTER J Z, KOLTUN V. An empirical evaluation of generic convolutional recurrent wks f sequence modeling[JOL]. arXiv preprint arXiv (2018034)[ 20240323]. https:arxiv.gabs1803.01271.

    [17] [17] HU C J, ZHAO Y, JIANG H, et al. Prediction of ultrashtterm wind power based on CEEMDANLSTMTCN[J]. Energy Repts, 2022, 8 Suppl 8: 483−492.

    [19] [19] HE K M, ZHANG X Y, REN S Q, et al. Deep residual learning f image recognition[C]Proceedings of 2016 IEEE Conference on Computer Vision Pattern Recognition. Las Vegas: IEEE, 2016: 770−778.

    [20] [20] VASWANI A, SHAZEER N, PARMAR N, et al. Attention is all you need[C]Proceedings of the 31st International Conference on Neural Infmation Processing Systems. Long Beach: Curran Associates Inc. , 2017: 6000−6010.

    [21] [21] NOAA. AISDataHler[DBOL]. NOAA.(20200908)[20240124]. https:coast.noaa.govhtdataCMSPAISDataHler2020index.html.

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    Jinyuan LI, Faxin ZHU, Xianbin TENG, Qilin BI. Ship track prediction based on Bayesian optimization in temporal convolutional networks[J]. Chinese Journal of Ship Research, 2024, 19(6): 303

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    Paper Information

    Category: Weapon, Electronic and Information System

    Received: Jan. 24, 2024

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03755

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