Target Priority Estimation Based on Convolutional Neural Networks

被引：0

作者：

Teng, Long ^{[1
,2
]}

Guo, Qiang ^{[1
]}

Gao, Youbing ^{[2
]}

机构：

[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin, Heilongjiang, Peoples R China

[2] Sci & Technol Elect Informat Control Lab, Chengdu, Sichuan, Peoples R China

来源：

PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019) | 2019年

关键词：

Target priority estimation; convolutional neural network; prediction;

D O I：

10.1109/itnec.2019.8729334

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to improve the accuracy of air target priority estimation, a target priority evaluation method based on convolutional neural network is proposed. The convolutional neural network predictor, convolutional neural network prediction model and convolutional neural network prediction algorithm are introduced respectively. 900 sets of data are used as the training set, and 10 sets of data are used as the test set. The network model is Verified by the 10 sets of data. The results show that the method can effectively complete the air target priority estimation. The method proposed in this paper is better than several existing methods.

引用

页码：1967 / 1971

页数：5

共 9 条

[1]

[常亮 Chang Liang], 2016, [自动化学报, Acta Automatica Sinica], V42, P1300

[2]

Kingma DP, 2014, ARXIV

[3] Target threat assessment using improved SVM [J].

Li, Jiang ;

Guo, Li-Hong .

Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2014, 22 (05) :1354-1362

[4]

Li Lu-jun, 2017, Electronics Optics & Control, V24, P6, DOI 10.3969/j.issn.1671-637X.2017.09.002

[5]

[黎亚雄 Li Yaxiong], 2014, [计算机研究与发展, Journal of Computer Research and Development], V51, P1936

[6]

Wang Bo, 2010, Systems Engineering and Electronics, V32, P2612, DOI 10.3969/j.issn.1001-506X.2010.12.25

[7]

WANG K, 2012, COMPUTER TECHNOLOGY, P721

[8]

Wang Xiao-Yi, 2007, CONTROL DECISION, P859

[9]

Wang Xuejiao, 2017, RES SENSOR MANAGEMEN

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