DocumentCode
620064
Title
Operational ability evaluation model of the armored weapon system of system
Author
Zuo Xuesheng ; Qu Yang
Author_Institution
Armored Inst., Bengbu, China
fYear
2013
fDate
25-27 May 2013
Firstpage
2161
Lastpage
2163
Abstract
On the basis of taking the weapon system of system operational ability evaluation indexes for reference, we combine with the character of the armored weapon , seek advice from experts, and built the armored weapon operational ability evaluation indexes system. Then, we take the building train samples and experts marking samples to train the BP neural networks, and evaluate the armored weapon system of system operational ability. The results indicate the trained neural network is reasonable to evaluate the operational ability. It could reduce the artificial factor, and make the results more reliable. The model could take reference for the operational evaluation to the armored weapon system of system.
Keywords
armour; backpropagation; military computing; neural nets; weapons; BP neural network; armored weapon system of system; artificial factor; building train sample; experts marking sample; operational ability evaluation model; system operational ability evaluation index; trained neural network; Biological neural networks; Indexes; Modeling; Training; Weapons; Armored weapon SOS; Evaluation; Neural Network; Operational Ability;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561293
Filename
6561293
Link To Document