现代防御技术2012，Vol.40Issue(2)：132-137,6.DOI:10.3969/j.issn.1009-086x.2012.02.026
基于主成分分析和神经网络的目标识别
Target Recognition Based on Principal Component Analysis and Neural Networks
摘要
Abstract
The principal component analysis (PCA) is used to aggregate the recognition attribute in order to decrease the association of each attribute and reduce the attribute. The neural networks is used to recognize the target. The use of optimizing policy can improve the constringency speed and the generalization ability of the neural networks. The combined method of principal component analysis and neural networks not only can recognize the target in high efficiency, but also can have the ability of self-study and adapting which can recognize the target in naval battlefield. A simulation is given to prove the efficiency of this algorithmic.关键词
主成分分析/神经网络/海战场/目标识别Key words
principal component analysis/neural network/naval battlefield/target recognition分类
信息技术与安全科学引用本文复制引用
陈新来..基于主成分分析和神经网络的目标识别[J].现代防御技术,2012,40(2):132-137,6.
