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基于改进的BP算法的舰载C4I威胁判断模型
引用本文:曹强,胡锦春.基于改进的BP算法的舰载C4I威胁判断模型[J].现代防御技术,2006,34(1):53-55.
作者姓名:曹强  胡锦春
作者单位:海军大连舰艇学院,研究生2队,辽宁,大连,116018
摘    要:为解决传统舰载C4I威胁判断模型的不足,寻求适应信息化作战要求的舰载C4I威胁判断模型,将神经网络引入舰载C4I系统,提出了基于BP神经网络的威胁判断模型,并对BP算法进行了改进;通过Matlab仿真计算,结果表明该方法计算速度快、精度高.

关 键 词:神经网络  BP算法  威胁判断
文章编号:1009-086X(2006)01-0053-03
修稿时间:2005年7月10日

Warship C4I threat evaluation model based on improved BP algorithm
CAO Qiang,HU Jin-chun.Warship C4I threat evaluation model based on improved BP algorithm[J].Modern Defence Technology,2006,34(1):53-55.
Authors:CAO Qiang  HU Jin-chun
Abstract:In order to solve the shortage of traditional warship C~4I threat evaluation model and seek a new warship C~4I threat evaluation model to meet the requirements of information war,neural network was applied in warship C~4I.A threat evaluation model based on BP neural networks was put forward.The BP algorithm was also improved.The result of Matlab simulation demonstrated that the improved BP neural network was a high speed and high accuracy warship C~4I threat evaluation model.
Keywords:Neural net  BP algorithm  Threat evaluation  
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