动态贝叶斯网络在战争身份识别中的应用

Application of Dynamic Bayesian Network in Combat Identification

在战争身份识别中运用贝叶斯网络时,系统参数不能做到及时调整,动态贝叶斯网络可以解决这一问题,通过建立网络模型,引入时间因素,对系统参数进行分析与后验概率推理,利用隐马尔科夫模型对推理进行仿真实验.通过动态贝叶斯网络在战争身份识别中的使用为指挥员在有限的时间内作出有效的评估识别提供了依据,具有重要的实战意义.

The system parameters of Bayesian Network can not be update immediately when it is used for Combat identification in the Bayesian Network. To solve this problem,we studied the application of Dynamic Bayesian Network（ DBN） in Combat Identification. The factor of time was introduced to construct the network model. The probability parameters and inference procedure were analyzed,and HMM algorithm was used in simulation of the inference. It is provided basis for commander to make decision effectively through the application of DBN in Combat identification. So it is of great practical experience.