Research of Track Fusion Technology Based on Artificial Intelligence

被引：0
|
作者：
Nie, Hao [1 ]
机构：
[1] First Aeronaut Inst Air Force, Aeronaut Elect Engn Dept, Xinyang 464000, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON COMPUTER, MECHATRONICS AND ELECTRONIC ENGINEERING (CMEE 2016) | 2016年
关键词：
Track fusion; Neural network; Expert system;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
With the development of air traffic, its safety is getting much more attention. Aimed at solving the problem of different sources in track fusion, this paper proposes track fusion technology based on neural network and expert system of artificial intelligence, which improves the precision of the track fusion and provides a good application prospect.
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页数：4
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