计算机工程与应用2019，Vol.55Issue(5)：251-257,7.DOI:10.3778/j.issn.1002-8331.1711-0302
基于贝叶斯网络的任务共同体识别
Identification Method of Mission Community Based on Bayesian Network
摘要
Abstract
With combat capability increasing of the weapon platform, the target range of the weapon platform is expanding, and it is necessary to classify the weapon platform according to the object that weapon platform may hit. It can distinguish the task community, enhance the cognition and support combat decision. Therefore, the issue of task community identifica-tion is discussed in this paper. Firstly, the concept of the task community is introduced. Then, it explores the ideas and methods framework of task community identification. Then, the method of object attempt evaluation is discussed with Bayesian network, which analyzes the structure of Bayesian network model. Finally, a simulation example is given to demonstrate the feasibility and effectiveness of the proposed method.关键词
任务共同体/贝叶斯网络/条件概率表/目标分群Key words
mission community/ Bayesian belief network/ conditional probability table/ target grouping分类
信息技术与安全科学引用本文复制引用
吕学志,胡晓峰,吴琳,贺筱媛..基于贝叶斯网络的任务共同体识别[J].计算机工程与应用,2019,55(5):251-257,7.基金项目
陕西省社会发展科技攻关项目(No.2016SF-410). （No.2016SF-410）
