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
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;
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
DOI :
10.1109/CCDC.2008.4597920
