Abstract
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.
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Liu, S., Feng, C., Jia, ZJ., Hu, MS. (2014). Complex Network Construction Method of Disaster Regional Association Based on Optimized Compressive Sensing. In: Huang, DS., Jo, KH., Wang, L. (eds) Intelligent Computing Methodologies. ICIC 2014. Lecture Notes in Computer Science(), vol 8589. Springer, Cham. https://doi.org/10.1007/978-3-319-09339-0_77
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DOI: https://doi.org/10.1007/978-3-319-09339-0_77
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09338-3
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