火力与指挥控制2016，Vol.41Issue(11)：90-93,97,5.
基于贝叶斯网络的空中目标威胁估计算法
Air Threat Assessment Algorithm Based on Bayesian Networks
翟贵敏 1董龙明 2邱瑞波 2马连淼2
作者信息
- 1. 南京市莫愁中等专业学校,南京 210017
- 2. 陆军驻南京地区军事代表室,南京 210000
- 折叠
摘要
Abstract
The commanders and decision-makers are often unable to make the right decision quickly in the face of massive data and information described in the battlefield situation under the joint operations. The Bayesian network model is a mathematical model of the network based on probabilistic reasoning,and able to obtain the probabilistic information of other variables from some variables. So,it can solve the problem of uncertainty and incompleteness. An air threat assessment algorithm based on Bayesian networks is introduced. The potential relationships among these properties of the air threat goals can be found with this air threat model,and air threat assessment algorithm is established based on this model. In the end,an example experiment is used to verify the computation and validity of the air threat assessment algorithm.关键词
贝叶斯网络/空中目标威胁/估计算法Key words
bayesian networks/air threat/assessment algorithm分类
信息技术与安全科学引用本文复制引用
翟贵敏,董龙明,邱瑞波,马连淼..基于贝叶斯网络的空中目标威胁估计算法[J].火力与指挥控制,2016,41(11):90-93,97,5.
