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

Autor:	Cong Feng, Zhi-Juan Jia, Ming-Sheng Hu, Si Liu
Rok vydání:	2014
Předmět:	Power series Mathematical optimization Compressed sensing Series (mathematics) Computer science Association (object-oriented programming) Node (networking) Process (computing) Complex network Network topology
Zdroj:	Intelligent Computing Methodologies ISBN: 9783319093383 ICIC (2)
DOI:	10.1007/978-3-319-09339-0_77
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d5d6f7897f6b78910baf6ada5d0c0df6 https://doi.org/10.1007/978-3-319-09339-0_77 Zobrazit plný text záznamu