DocumentCode
2564627
Title
Optimal configuration of weapon system based on ANN
Author
Guoqing Yu ; Wang, Hangyu ; Sun, Shiyan ; Wang, Qiang
Author_Institution
Naval Mil. Representative Office, Guangzhou
fYear
2008
fDate
2-4 July 2008
Firstpage
3209
Lastpage
3212
Abstract
This paper studies the optimal configuration of weapon system (OCWS) based on the nonlinear artificial neural network (ANN). Firstly, the value function in OCWS is difficult to get. In this paper, value function is approximated by BP network, through which the functions are evaluated and the decision alternatives are ranked; secondly, OCWS is translated to traveling salesman problem (TSP) which is solved by Hopfield network. The results of the paper indicate that these methods are feasible and valuable.
Keywords
military computing; neural nets; travelling salesman problems; weapons; Hopfield network; backpropagation network; nonlinear artificial neural network; optimal configuration; traveling salesman problem; value function; weapon system; Weapons; BP networks; Decision Analysis; Hopfield networks; optimal configuration; weapon system;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4597920
Filename
4597920
Link To Document