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�������պ����ѧѧ�� 2000, Vol. 26 Issue (6) :666-668    DOI:
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Application of Neural Networks in Differential Game
ZHOU Rui, LI Hui-feng*
Beijing University of Aeronautics and Astronautics,Dept.of Automatic Control

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Abstract�� 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.
Keywords�� differential games   neural networks   artificial intelligence   distributed learning rate     
Received 1999-06-02;
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���տ�ѧ����������Ŀ(98D51102); ������Ȼ��ѧ����������Ŀ(69904002)

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����, ��ݷ�.������������΢�ֶԲ��е�Ӧ��[J]  �������պ����ѧѧ��, 2000,V26(6): 666-668
ZHOU Rui, LI Hui-feng.Application of Neural Networks in Differential Game[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2000,V26(6): 666-668
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