Ship Trajectory Prediction Based on CNN-F-LSTM-Attention

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更新时间：2024-10-14

- Ship Trajectory Prediction Based on CNN-F-LSTM-Attention
- “在海上交通安全管理领域，专家提出了一种结合卷积神经网络、改进长短时记忆网络与注意力机制的船舶轨迹预测模型，提高了模型精度。”
- Software Guide Vol. 23, Issue 10, Pages: 66-72(2024)
- 作者机构：
  
  1.海南大学计算机科学与技术学院
  2.海南大学网络空间安全学院，海南海口 570228
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.231913
  CLC： TP181
- Published：15 October 2024，
  
  Received：23 August 2023，
- 稿件说明：
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王雨晴,李修来,刘笑嶂等.基于CNN-F-LSTM-Attention的船舶轨迹预测[J].软件导刊,2024,23(10):66-72.

WANG Yuqing,LI Xiulai,LIU Xiaozhang,et al.Ship Trajectory Prediction Based on CNN-F-LSTM-Attention[J].Software Guide,2024,23(10):66-72.
王雨晴,李修来,刘笑嶂等.基于CNN-F-LSTM-Attention的船舶轨迹预测[J].软件导刊,2024,23(10):66-72. DOI： 10.11907/rjdk.231913.

WANG Yuqing,LI Xiulai,LIU Xiaozhang,et al.Ship Trajectory Prediction Based on CNN-F-LSTM-Attention[J].Software Guide,2024,23(10):66-72. DOI： 10.11907/rjdk.231913.

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