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�������պ����ѧѧ�� 2002, Vol. 28 Issue (5) :536-539    DOI:
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Target Recognition Method by Combination of Neural Networks with Evidence Theory
WANG Mao-lu, LI Shao-hong, MAO Shi-yi*
Beijing University of Aeronautics and Astronautics, Dept. of Electronic Engineering

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Abstract�� A method based on the combination of neural networks with D-S evidence theory was proposed to recognize HRR targets. Multiple HRR images were input into Learning Vector Qualification (LVQ) neural network to estimate target type evidence, the results were fused by D-S evidence theory. Methods for feature space discretization and class evidence estimation were proposed. The origin of recognition error of neural network was analyzed. The results of emulation show that the correctness of this method is higher than that of LVQ network method obviously, the ability to counteract disturbance and noise is also raised.
Keywords�� neural network   ��high-resolution radar   ��recognition     
Received 2001-01-10;
About author: ��ë·(1974-),Ů,���������,��ʿ��,100083,����.
��ë·, ���ٺ�, ëʿ��.֤�����ۺ��������ϵ�Ŀ��ʶ�𷽷�[J]  �������պ����ѧѧ��, 2002,V28(5): 536-539
WANG Mao-lu, LI Shao-hong, MAO Shi-yi.Target Recognition Method by Combination of Neural Networks with Evidence Theory[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2002,V28(5): 536-539
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