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.
出处
《微计算机信息》
北大核心
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)
关键词
GMDH
神经网络
目标识别
Group Method of Data Handling
Neural network
Target recognition
