摘要
针对军民融合维修保障任务区分问题,通过构建军民融合装备维修保障能力评估指标体系,利用证据合成理论对维修保障能力指标进行评估,设计BP神经网络模型,通过MATLAB运算得到军民双方维修能力评估值,结果分析表明,BP神经网络具有较强的解决非线性问题的能力,能够作为军民融合维修保障任务区分问题决策的依据。
Aiming at the problem of the integration of military and civilian integration and maintenance tasks,this paper constructs the evaluation index system of military and civilian integration equipment maintenance support capability,evaluates the seven maintenance support capability indexes by using the theory of evidence synthesis,designs the BP neural network model,and analyzes the result by matlab simulation software The results show that the BP neural network has a strong ability to solve the nonlinear problem,and it is suitable for the division of the task of military and civilian integration and maintenance.
作者
朱敦祥
史宪铭
苏小波
赵汝东
ZHU Dun-xiang;SHI Xian-ming;SU Xiao-bo;ZHAO Ru-dong(Shijiazhuang Campus of the Army Engineering University,Shijiazhuang 050003,China)
出处
《火力与指挥控制》
CSCD
北大核心
2019年第5期139-143,共5页
Fire Control & Command Control
基金
国家社科基金军事学基金资助项目(16GJ003-105)
关键词
任务区分
能力评估
BP神经网络
证据理论
指标体系
task differentiation
capacity assessment
BP neural network
evidence theory
index system
