摘要
提出了基于大数据和机器学习的智能作战评估方法和框架,重点对评估指标智能构建、基于时序的作战网络评估分析、基于大数据的体系评估视图构建、装备贡献率多维度评估分析等关键技术进行了研究,为开展智能化作战评估提供新的解决方案。
A method and framework of battle intelligence evaluation based on big data and machine learning were proposed.The key technologies such as intelligent construction of evaluation index,battle network evaluation based on time series,view construction of system evaluation based on big data and multi-dimensional evaluation of equipment contribution rate were studied,which provides a new solution for intelligent evaluation of battle.
作者
左钦文
张杰民
刘晓宏
杨明
ZUO Qinwen;ZHANG Jiemin;LIU Xiaohong;YANG Ming(Chemical Defense Institute,Beijing 102205,China;The National 785 Factory,Taiyuan 030024,China)
出处
《兵器装备工程学报》
CAS
北大核心
2020年第2期107-110,共4页
Journal of Ordnance Equipment Engineering
基金
国家重点研发计划项目(2018YFC0214100).
关键词
大数据
机器学习
作战评估
装备论证
作战试验
big data
deep learning
operational evaluation
equipment demonstration
operational test