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基于BP神经网络的主成分分析法在效能评估中的应用
引用本文:龙海燕,张永志,宋朝河. 基于BP神经网络的主成分分析法在效能评估中的应用[J]. 舰船电子工程, 2008, 28(9)
作者姓名:龙海燕  张永志  宋朝河
作者单位:1. 东莞理工学院城市学院计算机与信息科学系,东莞,523000
2. 蚌埠坦克学院蚌埠,233000
3. 解放军炮兵学院,合肥,230031
基金项目:侦察装备效能分析及其作战使用研究项目 
摘    要:针对侦察效能评估中,指标因素的多样性和因素间的复杂关系,依据主成分分析的评估思路,运用BP神经网络对侦察效能进行评估.结合BP神经网络的逼近非线性函数的映射能力和并行处理的特点,解决数据样本的分类问题.通过对侦察效能的评估,验证了BP神经网络对效能评估的可行性,其方法和成果可供其它武器装备效能评估借鉴和参考.

关 键 词:BP神经网络  主成分分析法  效能评估  权值

Application of PCA in the Effect Valuation Based on the BP Neural Network
Long Haiyan,Zhang Yongzhi,Song Chaohe. Application of PCA in the Effect Valuation Based on the BP Neural Network[J]. Ship Electronic Engineering, 2008, 28(9)
Authors:Long Haiyan  Zhang Yongzhi  Song Chaohe
Affiliation:Long Haiyan1) Zhang Yongzhi2) Song Chaohe3)(Dept.of Computer , Information Science,City College,Dongguan University of Technology1),Dongguan 523000)(Bengbu Tank Institute of PLA2),Bengbu 233000)(The Artillery Academy of PLA3),Hefei 230031)
Abstract:Aiming at the very diverse of the index sign and the complicated relation of the factor in the effect valuation,it make use of the BP neural network to carry on the valuation towards probing the effect according to the thinking of primary component analysis.Combining the ability of mapping and the characteristics of concatenation processed of the BP neural network to approximation the non-line function,it resolve the classify-cation problem of the data sample.Through the valuation of the probe effect,it ver...
Keywords:BP neural network  primary component analysis  effect evaluation  power value  
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