现代电子技术2017，Vol.40Issue(3)：19-22,4.DOI:10.16652/j.issn.1004-373x.2017.03.006
网络不稳定节点的动态特征挖掘模型
Model for dynamic feature mining of network unstable nodes
刘菲1
作者信息
- 1. 中央司法警官学院 现代教育技术中心，河北 保定 071000
- 折叠
摘要
Abstract
In order to improve the location and detection accuracy of the network unstable nodes,a network unstable nodes′ dynamic feature mining model based on empirical mode decomposition and power spectral density feature extraction is proposed. The empirical mode decomposition is performed for output signals of the network unstable nodes to decompose the dy?namic signal of a complex network unstable node into the sum of several IMF components. The power spectral density feature of the decomposed signal is extracted to mine the dynamic features of the network unstable nodes. The simulation results show that the mining model can accurately realize the output signal parameter estimation and dynamic feature extraction of the unstable nodes,has high feature mining accuracy,and can locate and recognize the unstable nodes better.关键词
网络不稳定节点/输出信号/动态特征挖掘/经验模态分解Key words
network unstable node/output signal/dynamic feature mining/empirical mode decomposition分类
信息技术与安全科学引用本文复制引用
刘菲..网络不稳定节点的动态特征挖掘模型[J].现代电子技术,2017,40(3):19-22,4.
