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小世界网络重联概率对螺旋波穿透缺陷的影响

Reconnection Probability of Small World Networks Affects the Ability of Spiral Wave to Go Through Defect

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【作者】 王林娜唐文忠王衍洋张明明

【Author】 WANG Linna;TANG Wenzhong;WANG Yanyang;ZHANG Mingming;School of Computer Science,Beihang University;School of Aeronautical Science and Engineering,Beihang University;

【机构】 北京航空航天大学计算机学院北京航空航天大学航空科学与工程学院

【摘要】 基于改进的Greenberg-Hastings元胞自动机模型,构建了复杂网络模型,研究了两种经典小世界网络算法下的重联概率p对螺旋波穿透缺陷能力的影响。实验发现,当p小于等于某个定值p_c时,随着重联概率p的增大,螺旋波穿透缺陷的能力显著增强;当p大于p_c时,螺旋波穿透缺陷的能力不再随着p的增大而增强。

【Abstract】 Based on improved Greenberg-Hastings cellular automaton model,this paper built a complex neural network model and studied the effects of reconnection probability pon the ability of penetrating defect of spiral wave under two kinds of classical small world network.It shows that when pis less than or equals a fixed value pc,the ability of penetrating defect of spiral waves will markedly enhance with the increase of reconnection probability p;When pis greater than the pc,the ability of penetrating defect of spiral waves will not enhance with the increase of p.

  • 【文献出处】 复杂系统与复杂性科学 ,Complex Systems and Complexity Science , 编辑部邮箱 ,2016年03期
  • 【分类号】O157.5
  • 【下载频次】49
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