Reconnection Probability of Small World Networks Affects the Ability of Spiral Wave to Go Through Defect
WANG Linnaa, TANG Wenzhonga, WANG Yanyangb, ZHANG Mingminga
a. School of Computer Science, Beihang University, Beijing 100191, China; b. School of Aeronautical Science and Engineering, Beihang University, Beijing 100191, China
Abstract：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.
王林娜, 唐文忠, 王衍洋, 张明明. 小世界网络重联概率对螺旋波穿透缺陷的影响[J]. 复杂系统与复杂性科学, 2016, 13(3): 76-80.
WANG Linna, TANG Wenzhong, WANG Yanyang, ZHANG Mingming. Reconnection Probability of Small World Networks Affects the Ability of Spiral Wave to Go Through Defect[J]. Complex Systems and Complexity Science, 2016, 13(3): 76-80.
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