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C4ISR人机交互性能的LMBP神经网络评估
引用本文:梁宇,郝海燕,尤志锋,李勇.C4ISR人机交互性能的LMBP神经网络评估[J].兵工自动化,2005,24(4):3-4.
作者姓名:梁宇  郝海燕  尤志锋  李勇
作者单位:防空兵指挥学院,研究生大队,河南,郑州,450052;防空兵指挥学院,研究生大队,河南,郑州,450052;防空兵指挥学院,研究生大队,河南,郑州,450052;防空兵指挥学院,研究生大队,河南,郑州,450052
摘    要:C4ISR系统人机交互性能的LMBP神经网络评估模型为输入层、隐层及输出层三层前向神经网络,采用变形牛顿法,使非线性函数的平方和函数最小化.将输入提交网络,计算其网络输出和误差、敏感度、及平方误差之和.通过构造学习样本、训练网络,用Matlab工具箱仿真实现其性能评估.

关 键 词:人机交互  性能评估  C4ISR系统  LMBP神经网络
文章编号:1006-1576(2005)04-0003-02
收稿时间:2004-11-10
修稿时间:2005-02-01

Performance Evaluation of Man-Machine Interaction for C4ISR System Based on LMBP NN
LIANG Yu,HAO Hai-yan,YOU Zhi-feng,LI Yong.Performance Evaluation of Man-Machine Interaction for C4ISR System Based on LMBP NN[J].Ordnance Industry Automation,2005,24(4):3-4.
Authors:LIANG Yu  HAO Hai-yan  YOU Zhi-feng  LI Yong
Abstract:The performance evaluation model of man-machine interaction of C^4ISR system based on the LMBP neural network is a forward NN with input layer, the output layer and the hidden layer. The modified Newton method is used to solve the minimal sum of squares of the nun-linier function. First, put the input data into the input layer, and then, calculate the output, the error, the sensitivity and the sum of the square error. By constructed learning stylebook and training network, and use the MATLAB toolbox to emulate to realize performance evaluation model of man-machine interaction.
Keywords:Man-machine interaction  Performance evaluation  C^4ISR system  LMBP neural network
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