小世界网络重联概率对螺旋波穿透缺陷的影响 |
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引用本文: | 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, 0(3): 76-80. DOI: 10.13306/j.1672-3813.2016.03.010 |
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作者姓名: | 王林娜 唐文忠 王衍洋 张明明 |
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作者单位: | 1. 北京航空航天大学 计算机学院,北京,100191;2. 北京航空航天大学 航空科学与工程学院,北京,100191 |
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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。
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关 键 词: | 小世界网络 重联概率 螺旋波 神经网络 元胞自动机 |
Reconnection Probability of Small World Networks Affects the Ability of Spiral Wave to Go Through Defect |
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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 . |
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Keywords: | small world network reconnection probability spiral wave nral ntwork cellular atomat |
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