基于动态贝叶斯网络的空战目标威胁等级评估  

Threat Level Assessment of the Air Combat Target Based on DBN

作　　者：晏师励 李德华[1] 

机构地区：[1]华中科技大学自动化学院,武汉430070

出　　处：《计算机与数字工程》2015年第12期2150-2154,2198,共6页Computer & Digital Engineering

摘　　要：空战过程中,敌方空军目标对我军的威胁等级评估可以帮助指挥员进行决策,而战争过程中,信息具有高度不确定性。贝叶斯网络具有处理不确定复杂问题的优点,论文将动态贝叶斯网络与威胁评估模型相结合,建立了用于评估威胁等级的模型。利用贝叶斯网络推理软件Netica在该网络模型上进行实验,实验结果表明基于动态贝叶斯网络的模型能有效地对空战中目标对我军的威胁等级进行评估。During air combat,the threat level assessment of the enemy＇s air targets to our military can help commander to make decisions,but in the process of the war,information has a high degree of uncertainty.Bayesian Networks has the advantages of dealing with the uncertain and complex issue,in this paper,Dynamic Bayesian Networks are combined with threat assessment model to establish a model which is used for assessmenting threat level.The software Netica that can infer Bayesian Networks on the network model is used to have a experiment,the results show that the model based on Dynamic Bayesian Networks can effectively assessment the threat level of air combat targets to our army.

关 键 词：动态贝叶斯网络 后验概率 威胁评估 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]