Ship Trajectory Prediction based on LSTM Neural Network

被引：0
|
作者：
Zhang, Zhiyuan [1 ]
Ni, Guoxin [1 ]
Xu, Yanguo [1 ]
机构：
[1] Nanjing Res Inst Elect Technol, Nanjing, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020) | 2020年
关键词：
LSTM; ship trajectory; prediction;
D O I：
10.1109/itoec49072.2020.9141702
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is based on a large number of AIS data. Firstly, data preprocessing is carried out to ensure the integrity and accuracy of the data. Then, based on the route data, the prediction algorithm such as LSTM(Long Short-Term Memory) recurrent neural network is used to model to realize the prediction of the ship's navigation trajectory.
引用
收藏
页码：1356 / 1364
页数：9
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