摘要
针对装甲兵模拟训练系统方面,阐述了数据挖掘的基本理论,分析了装甲兵模拟训练系统产生的数据特点。总结了数据挖掘在装甲兵模拟训练系统的具体应用,包括辅助指挥决策、装备试验验证、装备效能评估、发现作战规则以及探索训练规律。最后介绍了面向装甲兵模拟训练系统的数据挖掘应用前景。
Integrating with armored force simulation training system, the basic theory of data mining is expounded, and the data characteristics produced by the system for armored soldiers are analyzed. The application of data mining in armored force simulation training system is summarized, including assistant command decision-making, equipment test verification, equipment effectiveness evaluation, discovery of operational rules and exploration of training rules. Finally, the application prospects of data mining for armored force simulation training system are discussed.
作者
邓青
薛青
高恒
翟凯
陈俊
DENG Qing;XUE Qing;GAO Heng;ZHAI Kai;CHEN Jun(Army Armored Force Institute, Beijing 100072, China;Army Command College, Nanjing 210045, China)
出处
《兵器装备工程学报》
CAS
北大核心
2019年第S02期76-79,共4页
Journal of Ordnance Equipment Engineering
基金
武器装备军内科研项目(41404060205)。
关键词
装甲兵模拟训练系统
数据挖掘
关联规则
聚类
分类
armored force simulation training system
data mining
association rules
clustering
classification