Application of Neural Networks in Differential Game

The existing problems of application of differential game in practice are analyzed.Considering the processes of practical dynamic conflicts,neural networks combined with the theory of multilayer intelligence control are introduced to modeling the problem of differential game.It turns the problem of differential game into the problem of maneuver identification and optimization control based on neural networks.This process of solving differential games is more conformity with practice,and provides an efficient method for adding human experience and combining the qualitative analysis with quantitative analysis of differential game.The adaptive distributed learning rate of neural networks is developed to increase the learning speed and performance greatly.