摘要
兵棋演习数据中蕴含大量作战行动之间的关系,通过对这些关联关系进行分析和挖掘,可以发现关键行动,辅助描述作战过程。研究作战行动共现网络模型的构建,分析行动关系种类和行动关系提取方法,进行关键行动提取研究。实验结果表明,针对兵棋演习作战行动数据集,采取行动关系挖掘算法以及行动重要度排序算法,可以有效挖掘行动间隐藏的关系,提取推演数据中的关键行动,为演习复盘评估提供帮助。
Wargaming data contain a large number of relationships between combat operations.Through the analysis and mining of these relationships,we can find critical actions and help describe the combat process.This paper studied the construction of combat action co-occurrence network model,analyzed the types of action relations and the extraction methods of action relations,and studied the extraction methods of critical actions on this basis.The experimental results show that the action relationship mining algorithm and action importance ranking algorithm can effectively mine the hidden relationship between actions,extract the critical actions in the deduction data,and provide help for the re-evaluation of the wargaming.
作者
吴蕾
司光亚
柳少军
伍文峰
WU Lei;SI Guang-ya;LIU Shao-jun;WU Wen-feng(Joint Operations College,National Defence University,Beijing 100091,China;Army Aviation Research Institute,Beijing 101121,China)
出处
《计算机仿真》
北大核心
2023年第8期18-23,338,共7页
Computer Simulation
基金
军内科研项目(1523154526063)。
关键词
兵棋演习
行动关系
关键行动
作战过程描述
Wargaming
Action relationship
Critical action
Operational process description
