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《Journal of Air Force Radar Academy》 2006-04
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A Method of Signal Sorting Based on Cascaded SSA-SOFM Neural Network

CHENG Bo-lin1,YUAN Jun-quan2,MA Xiao-yan3(1.Department of Electronic Countermeasures,AFRA,Wuhan 430019,China;2.Department of Information & Command Automation,AFRA,Wuhan 430019,China;3.Division of Training,AFRA,Wuhan 430019,China)  
Aimed at the drawback of the traditional SOFM neural network for radiation signal sorting,a structure self-adjusting(SSA) algorithm was discussed,which solves the problem of deciding the network scale in advance.Then,a signal sorting method based on the cascaded SSA-SOFM neural network model,was put forward and simulations made by using available data.The results show that the method dealt with is feasible.
【CateGory Index】: TP183;TN957.51
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