Tank Unit Combat Formation Recognition Model Based on BP Neural Network in Virtual Simulation Training

Author

Yanping, Fan ; Yalong, Ma ; Changsong, Xue

Author_Institution

Equip. Command & Manage. Dept., Acad. of Armored Force Eng., Beijing, China

Volume

1

fYear

2011

fDate

28-29 March 2011

Firstpage

952

Lastpage

955

Abstract

Aiming at the difficulty of tank unit combat formation recognition in virtual simulation training, the recognition method based on BP neural network is put forward. After analyzing the definition and character of the tank unit combat formation, the recognition strategy for tank unit formation is put forward. Then the recognition model based on BP neural network is built. In order to get plentiful swatch data, a random swatch creation model is constructed. The experiment shows that the method is feasible and the recognition model is effective, which can satisfy the requirement identifying tank unit formation in virtual simulation training.

Keywords

backpropagation; computer based training; military computing; military vehicles; neural nets; pattern recognition; virtual reality; BP neural network; random swatch creation model; tank unit combat formation recognition model; virtual simulation training; Artificial neural networks; Companies; Computational modeling; Mathematical model; Pattern recognition; Training; BP neural network; recognition model; tank unit combat formation; virtual simulation training;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on

Conference_Location

Shenzhen, Guangdong

Print_ISBN

978-1-61284-289-9

Type

conf

DOI

10.1109/ICICTA.2011.240

Filename

5750757