一种LVC训练环境下的体系效能融合评估方法
A Fusion Evaluation Method of System Effectiveness in LVC Training Environment
冯蕴天 1葛启东 1陈洁 1王彬 1刘明菊1
作者信息
- 1. 解放军63893部队,河南 洛阳 471000
- 折叠
摘要
传统的基于还原论思想的诸多方法能够初步实现体系效能评估,但仍未能很好地解决分布式环境合成化程度不高、级联关系分析难以动态变化、体系贡献率计算缺乏统计学理论支撑等问题.针对上述问题,提出一种基于信息推理的数据融合体系效能评估模型,通过其结构融合学习、动态信息推理、贡献概率分析等机制能够实现体系效能的融合评估.实验构建了 LVC训练环境下体系效能评估的仿真数据集,并验证了所提方法的有效性.
Abstract
Many traditional methods based on reductionism can initially achieve system effectiveness evaluation,but they have not been able to solve the problems that the degree of synthesis of distributed environments is not high,the analysis of cascade relationships is difficult to dynamically change,and the calculation of system contribution rates lacks statistical theoretical support.Aiming at the above problems,a data fusion system effectiveness evaluation model based on information reasoning is proposed.Through the mechanisms such as structure fusion learning,dynamic information reasoning,contribution probability analysis,the fusion evaluation of system effectiveness can be achieved.The simulation data set of system effectiveness evaluation under LVC training environment is constructed in the experiment,and the effectiveness of the proposed method is verified.
关键词
LVC训练环境/体系效能评估/数据融合/信息推理/体系贡献率Key words
LVC training environment/system effectiveness evaluation/data fusion/information reasoning/system contribution rate引用本文复制引用
基金项目
国家重点实验室主任基金资助项目(XXXXX2022Z0104A)
出版年
2024
国家科技期刊平台
NSTL
万方数据