The Vehicle Location Method Based on Artificial Neural Networks

被引：0

作者：

Liu, Yingying ^{[1
]}

Kong, Zhi ^{[2
]}

Wang, Lifu ^{[2
]}

Liu, Yiyang ^{[3
]}

机构：

[1] Shenyang Univ, Sch Informat Engn, Shenyang 110044, Peoples R China

[2] Northeastern Univ Qinhuangdao, Sch Control Engn, Qinhuangdao 066004, Hebei, Peoples R China

[3] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China

来源：

PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING | 2016年 / 32卷

关键词：

Location; GPS; Artificial neural network;

D O I：

暂无

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 introduces an GPS(Global Position Systems) location method based on articicial neural networks. Because the signal of GPS receiver is usually influenced surrounding environment, is difficult to obtain continuous and exact location data. A method based on Artificial Neural Network (ANN) is used to predict short time location information to guarantee real-time accurate navigation information. Simulation results have shown that the given method can obtain a certain precision and the approach is applicable.

引用

页码：1642 / 1646

页数：5

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