计算机应用研究2011，Vol.28Issue(6)：2151-2153,2160,4.DOI:10.3969/j.issn.1001-3695.2011.06.041
动态贝叶斯网络在战术态势估计中的应用
Application of dynamic Bayesian networks in tactical situation assessment
摘要
Abstract
This paper constructed a dynamic Bayesian networks model for situation assessment.The model considered discrete variable set as the object of study.Since the dynamic Bayesian networks model satisfied the Markovian property and stationary,the complexity of the networks was reduced.Compared with Bayesian networks, this dynamic Bayesian networks model took temporal factor into account.Through this model, the current situation assessment was not only associated with the evidence at the moment, but also with previous situation.Simultaneously, the next time situation could be predicted.The junction tree algorithm and Bayesian inferencing software was used in the experiments.Experimental results show that the situation assessment result is better than that of Bayesian networks, and the dynamic Bayesian networks model is effective.关键词
态势估计/贝叶斯网络/动态贝叶斯网络Key words
situation assessment/ dynamic Bayesian networks/ Bayesian networks分类
信息技术与安全科学引用本文复制引用
柴慧敏,王宝树..动态贝叶斯网络在战术态势估计中的应用[J].计算机应用研究,2011,28(6):2151-2153,2160,4.基金项目
中央高校基本科研业务费专项资金资助项目(KS0510030005) （KS0510030005）
