GMDH神经网络在空袭目标识别中的应用  

Application of GMDH Neural Network in Air Attack Target Recognition

作　　者：马飞[1] 华继学[1] 白冬婴[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《微计算机信息》2008年第19期258-260,共3页Control & Automation

基　　金：国家高技术发展研究计划项目(2006AA701304)

摘　　要：在现代防空作战中,如何快速准确的对敌我(友)目标进行识别,至关重要。本文提出利用GMDH神经网络对空袭目标的分类识别,GMDH称为数据处理的群集方法,适合于有较多网络输入的预测与分类。试验结果表明,该方法符合现代防空作战中目标识别的要求,具有一定的实用价值。In the modern antiair warfare, it is very important to identificate the pair of enemies or selves targets rapidly and accnrately. The paper proposed to make the classified recognition with the air attack targets using GMDH neural netwok, GMDH is called pack way of the data process .It is appropriate for the predition and classification of more network inputs. The final result indicated that, this way conforms to the request of target recognition in modern antiair warfare and has practical value to some extent.

关 键 词：GMDH 神经网络 目标识别 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]