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。
Based on improved Greenberg‐Hastings cellular automaton model ,this paper built a complex neural network model and studied the effects of reconnection probability p on the ability of penetrating defect of spiral wave under two kinds of classical small world network .It shows that when p is 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 p is greater than the pc ,the ability of penetrating defect of spiral waves will not enhance with the increase of p .
出处
《复杂系统与复杂性科学》
EI
CSCD
北大核心
2016年第3期76-80,共5页
Complex Systems and Complexity Science
关键词
小世界网络
重联概率
螺旋波
神经网络
元胞自动机
small world network
reconnection probability
spiral wave
nral ntwork
cellular atomat
