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基于BP的地空导弹人-机-环系统作战效能评估
引用本文:臧华磊,路建伟,周巍.基于BP的地空导弹人-机-环系统作战效能评估[J].兵工自动化,2007,26(10):19-21.
作者姓名:臧华磊  路建伟  周巍
作者单位:防空兵指挥学院,研究生管理大队,河南,郑州,450052;75150部队,湖南,衡阳,421131
摘    要:针对现代空袭兵器的特点,建立地空导弹人机环系统的作战效能评估指标体系,并采用BP神经网络方法对其作战效能进行分析评估.该神经网络输入层节点分别对应评估指标体系最底层的指标,隐层节点数在训练过程中可视网络的泛化能力调整,输出节点数则分别对应于效能评估等级.神经元输入与输出之间转移函数选取S型函数.评估步骤包括:训练样本的选取、样本的归一化处理、神经网络的训练、示例分析.

关 键 词:BP神经网络  地空导弹  人-机-环系统  作战效能
文章编号:1006-1576(2007)10-0019-03

Evaluation of Operational Effectiveness for Man-Machine-Environment Ground-to-Air Missile System Based on BP
ZANG Hua-lei,LU Jian-wei,ZHOU Wei.Evaluation of Operational Effectiveness for Man-Machine-Environment Ground-to-Air Missile System Based on BP[J].Ordnance Industry Automation,2007,26(10):19-21.
Authors:ZANG Hua-lei  LU Jian-wei  ZHOU Wei
Abstract:To be aimed at the characteristics of modern air raid weapon,set up an index system in operational effectiveness of man-machine-environment ground-to-air missile system,and adopt BP neural networks method to analyze and assess the operational effectiveness for several kinds of man-machine-environment ground-to-air missile system.This neural network input layer of node corresponds to the basement of index system separately,the count of latent layers of node visual network can be changed according to suffused ability of network in the training,and the output layer of node corresponds to the operation assessment grade.The neuron shifts function to choose Model S function while inputting and outputting.Steps of assessment include: the sample of training choosing,sample for normalization dealing,neural network training,sample analyzing.
Keywords:BP neural networks  Ground-to-air missile  Man-machine-environment system  Operational effectiveness
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