Complex Network Construction Method of Disaster Regional Association Based on Optimized Compressive

被引：0

作者：

Liu, Si ^{[1
]}

Feng, Cong ^{[1
]}

Jia, Zhi-Juan ^{[1
]}

Hu, Ming-Sheng ^{[1
]}

机构：

[1] Zhengzhou Normal Univ, Coll Informat Sci & Technol, Zhengzhou, Peoples R China

来源：

INTELLIGENT COMPUTING METHODOLOGIES | 2014年 / 8589卷

关键词：

isaster; Time series; Compressive sensing; Regional association; Complex network;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

iming at the disaster regional association issues, a complex network construction method of disaster regional association based on compressive sensing is proposed in this paper. The disaster system dynamic equations of network node are obtained through the use of power series expansion and the correlation coefficients between nodes are obtained through the use of compressed sensing theory, then the solving process is optimized by hyperbolic tangent function and revised Newton method, so as to realize the effective construction of the network topology. Experimental results show that, complete network construction requires less amount of time series information and the construction result has a certain rationality.

引用

页码：771 / 778

页数：8

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