基于神经网络的战时装备维修保障能力评估  

Evaluation of Equipment Maintenance Support Capability Based on Neural Network in Wartime

作　　者：李晓宇[1] 王新阁[1] 黄勇[1] 张磊[1] 

机构地区：[1]空军航空大学航空机械工程系,吉林长春130022

出　　处：《飞机设计》2011年第3期63-65,70,共4页Aircraft Design

摘　　要：介绍了神经网络的概念,阐述了BP神经网络的基本原理与方法,在系统分析战时装备维修保障系统的基础上构建了战时装备维修保障系统能力评估指标,设计了BP神经网络模型,通过Matlab仿真软件对结果进行计算分析表明,BP神经网络具有很强的解决非线性问题能力,适用于战时装备维修保障能力评估。Firstly,the basic principle and method of BP neural network are introduced in this paper,and an evaluation index system about the maintenance support capability in wartime is constructed based on influence factor analysis.Then the paper designs a neural network model about the maintenance support capability.The result is calculated and analyzed by using simulation software MATLAB.It is proved that the BP neural network can well resolve a complex nonlinearity relation problem and be suit to analyze and evaluate the inherent ability of equipment support in wartime.

关 键 词：BP神经网络 战时装备维修保障 评估 

分 类 号：E92[军事—军事装备学]