大连海事大学学报 >
2016 , Vol. 42 >Issue 2: 35 - 40
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2016.02.006
少量样本条件下模拟训练航迹点生成算法
收稿日期: 2015-10-29
修回日期: 2016-01-12
网络出版日期: 2016-01-12
基金资助
国家高技术研究发展计划（863）资助项目（2015AA016404）;交通运输部应用基础研究（主干学科）项目（2015329225240）;浙江省教育厅科研项目（Y201533096）.
Simulated training path generating algorithm under the conditon of small number of samples
Received date: 2015-10-29
Revised date: 2016-01-12
Online published: 2016-01-12
方 诚 , 任鸿翔 , 金一丞 . 少量样本条件下模拟训练航迹点生成算法[J]. 大连海事大学学报, 2016 , 42(2) : 35 -40 . DOI: 10.16411/j.cnki.issn1006-7736.2016.02.006
To deal with the problem of less tracking points under the condition of small number of samples, taking a single ship inward/outward port as an example, according to uncertain reverse normal cloud algorithm and two-dimension positive normal cloud algorithm,a track point cloud image generation algorithm for the single ship's inward/outward port was proposed based on small number of samples,and the practicability of the algorithm was verified through numerical examples,which gives a solid foundation for evaluating the navigation process from angle of the track.
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