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Reconnection Probability of Small World Networks Affects the Ability of Spiral Wave to Go Through Defect |
WANG Linnaa, TANG Wenzhonga, WANG Yanyangb, ZHANG Mingminga
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a. School of Computer Science, Beihang University, Beijing 100191, China; b. School of Aeronautical Science and Engineering, Beihang University, Beijing 100191, China |
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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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Received: 25 April 2014
Published: 25 February 2025
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