Neural Network Approach to Predict Marine Traffic

被引:0
作者
Daranda, Andrius [1 ]
机构
[1] Vilnius Univ, Inst Math & Informat, Akademijos St 4, LT-08663 Vilnius, Lithuania
来源
BALTIC JOURNAL OF MODERN COMPUTING | 2016年 / 4卷 / 03期
关键词
Maritime traffic; AIS; Artificial neural network; DBSCAN algorithm; prediction;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The marine traffic has been significantly rising fast during the last period of time. One of the most important problems for prediction of the marine traffic is to find certain patterns movements of particular vessels. Even the modern navigation devices could not ensure full maritime picture in narrow waterways because of geographical structures and various disturbances. Moreover, all vessels have could not use autopilot in straits for these reasons; they have to operated manually according to rules. In this paper, investigate the problem of maritime traffic prediction by artificial neural network.
引用
收藏
页码:483 / 495
页数:13
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