Chinese Journal of Ship Research, Volume. 20, Issue 1, 76(2025)

Ship motion identification model based on enhanced Bi-LSTM

Haozhe ZHANG... Zhibo YANG, Xuguo JIAO, Chengxing LÜ and Peng LEI |Show fewer author(s)
Author Affiliations
  • School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
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    • Table 1. Performance indicators of different models

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      Table 1. Performance indicators of different models

      预测状态预测模型${R^2}$eMAEeRMSE
      航向角/(°)本文模型0.999 990.009 80.013
      SVM0.996 040.772 40.877
      GRU0.999 880.117 10.148
      LSTM0.999 630.222 70.266
      偏航角速度/((°)·s−1)本文模型0.999 960.009 50.012
      SVM0.995 650.130 70.145
      GRU0.996 790.096 20.124
      LSTM0.994 250.121 10.166
      横摇角/(°)本文模型0.995 590.010 60.013
      SVM0.987 990.019 90.022
      GRU0.742 600.082 20.102
      LSTM0.822 870.070 20.084
      总速度/(m·s−1)本文模型0.999 130.002 60.003
      SVM0.987 330.011 70.012
      GRU00.108 40.118
      LSTM0.062 670.097 60.106
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    Haozhe ZHANG, Zhibo YANG, Xuguo JIAO, Chengxing LÜ, Peng LEI. Ship motion identification model based on enhanced Bi-LSTM[J]. Chinese Journal of Ship Research, 2025, 20(1): 76

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    Paper Information

    Category: Maneuverability Forecast

    Received: Jan. 17, 2024

    Accepted: --

    Published Online: Mar. 13, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03740

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