Title :
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
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;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.240