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。
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...
出处
《舰船电子工程》
2008年第9期81-84,共4页
Ship Electronic Engineering
基金
侦察装备效能分析及其作战使用研究项目(编号:陆装科订部2007第307号)资助
关键词
BP神经网络
主成分分析法
效能评估
权值
BP neural network
primary component analysis
effect evaluation
power value
