现代电子技术2016，Vol.39Issue(14)：73-76,4.DOI:10.16652/j.issn.1004-373x.2016.14.020
一种雪堆博弈网络重构算法研究与仿真
Compressive sensing based algorithm of snowdrift game network reconstruction
摘要
Abstract
Since it is difficult to determine the network topology of evolutionary game in advance,a complex network recon⁃struction algorithm based on compressive sensing theory for snowdrift game is proposed in this paper. Network construction is converted into a form that can be handled by compressed sensing theory by means of time series information. The solving process is optimized with hyperbolic tangent function and revised Newton method,so as to realize the effective reconstruction of the net⁃work topology. By taking Matlab 7.0 as experimental platform,corresponding verification and simulation experiment were con⁃ducted for this algorithm. The experimental results show that the network construction can be completed quickly and accurately with less time series information.关键词
雪堆博弈/时间序列/压缩感知/修正牛顿法/复杂网络Key words
snowdrift game/time series/compressive sensing/revised Newton method/complex network分类
信息技术与安全科学引用本文复制引用
杨爱云,娄红..一种雪堆博弈网络重构算法研究与仿真[J].现代电子技术,2016,39(14):73-76,4.基金项目
国家自然科学基金资助项目（61300127）；河南省科技攻关计划项目 （）
