%0 Journal Article
%T Target threat assessment based on PSO-BP algorithm<br>基于PSO-BP算法的目标威胁评估*
%A CHEN Hu
%A ZHANG Ke
%A CAO Jian-shu
%A <br>陈华
%A 张可
%A 曹建蜀
%J 计算机应用研究
%D 2012
%I 
%X This paper established a target thread model based on the factors of space situation and air combat capacity of targets, such as altitude, distance, speed and angle, and proposed a target threat level assessment method based on PSO (particle swarm optimization) and BP(back-propagation) algorithm to estimate the threat level of aerial targets. Through predicting threat level of 8 aerial targets, the result shows that this method is effective to solve the problem of air threat assessment target, greatly improving the objectivity of decision-making.
%K BP neural network
%K particle swarm optimization algorithm
%K threat index method
%K threat assessment<br>BP神经网络
%K 粒子群算法
%K 威胁指数法
%K 威胁估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F950C016BC33E901D67D129F9ACC8FF2&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=38B194292C032A66&sid=F3FF3E69C64937E9&eid=E23857687CD2EE51&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15