Neural-network-based Path Planning Optimization

被引：0

作者：

Zhang, Huamin ^{[1
]}

Che, Hua ^{[2
]}

Chen, Di ^{[2
]}

机构：

[1] First Aeronaut Inst Air Force, Dept Aerial Ammunit Engn, 23 Hangkong Rd, Xinyang City, Henan, Peoples R China

[2] First Aeronaut Inst Air Force, Dept Aerial Instrument & Elect Engn, 23 Hangkong Rd, Xinyang City, Henan, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL FORUM ON MANAGEMENT, EDUCATION AND INFORMATION TECHNOLOGY APPLICATION (IFMEITA 2017) | 2017年 / 130卷

关键词：

Unmanned Aerial Vehicle(UAV); Path Planning Optimization; Neural-network;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

In this paper some Unmanned Aerial Vehicles are equipped with a fixed camera to conduct surveillance operations, the route planning method are presented using neural network method. The simulation results are presented to demonstrate the performance and computational efficiency of the method. As neutral network approximation does not require analytic derivatives, speed could be further enhanced, it could be quite useful for real -time optimization control.

引用

页码：181 / 184

页数：4

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