摘要
动态贝叶斯网络是对具有随机过程性质的不确定性问题进行建模分析的有力工具。以作战效能为标准,建立了基于动态贝叶斯网络的电子对抗演练效果评估模型。仿真算例结果表明,动态贝叶斯网络对电子对抗演练效果评估合理。与静态贝叶斯网络相比,动态贝叶斯网络由于考虑了时间因素的影响,能更好地反映电子对抗分队演练效果的变化规律与趋势,具有较好的准确性以及容错能力。
Dynamic Bayesian networks （DBN） are a powerful tool for modeling and analyzing of the uncertainty nature random process .Operational efficiency as standards ,the effectiveness assess-ment model of electronic countermeasure drill is established based on DBN .The simulation results show that DBN is a more reasonable assessment method for the electronic countermeasure drill effec-tiveness evaluation .Compared with the static Bayesian networks （SBN） and considering the impact of the time factor ,DBN is better to reflect the electronic countermeasures drills effect of variation and trend ,with better accuracy and fault tolerance .
出处
《装备学院学报》
2014年第3期120-124,共5页
Journal of Equipment Academy
基金
部委级资助项目
关键词
电子对抗
效果评估
评估模型
动态贝叶斯网络
electronic countermeasure
effectiveness assessment
assessment model
dynamic Bayesian networks（DBN）
