面向智能化推演仿真的敌军兵力分群研究  

Research on Enemy Troops Clustering Objected to Intelligent Constructive Simulation

作　　者：胡艮胜[1] 刘建平[1] 胡睿[1] 

机构地区：[1]国防大学信息作战与指挥训练教研部,北京100091

出　　处：《系统仿真学报》2013年第S1期125-128,共4页Journal of System Simulation

基　　金：国家自然科学基金(61203140)

摘　　要：战争模拟的进一步发展对于推演的规模和速度提出了更高的要求,敌军兵力分群已经成智能化军事推演仿真系统模拟态势感知的重要关键技术。将理论化的战场兵力分群问题聚焦为空间分群问题,提出空间分群的多次聚类方法、基于邻接表的群结构的存储和动态更新机制,仿真实现正确地体现了情报分析人员对分群所依据属性的不同重视程度对分群结果的影响,验证了所提出的战场敌军兵力分群方法的可行性与有效性。The further development of war simulation put forward higher requirements of higher speed a larger scale.Enemy troops clustering has become an important key technology of situational awareness in the intelligent constructive simulation system.The theoretical battlefield troops clustering problem was focused into a spatial clustering problem,and the stepwise clustering method,clustering structure storage and dynamic updating mechanism based on the adjacent table was proposed.Simulation correctly reflects the different emphasis of different clustering attribute on the clustering results,and verifies the feasibility and effectiveness of the battlefield enemy troops clustering methods proposed.

关 键 词：推演仿真 态势感知 兵力分群 邻接表 

分 类 号：E869[军事—战术学] TP391.9[自动化与计算机技术—计算机应用技术]