Optimal configuration of weapon system based on ANN

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.