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Journal of Cellular Automata最新文献

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The Identification of Cellular Automata 元胞自动机的辨识
IF 0.3 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2006-09-01 DOI: 10.1201/9781315274355
Yifan Zhao, S. Billings
Although cellular automata have been widely studied as a class of the spatio temporal systems, very few investigators have studied how to identify the CA rules given observations of the patterns. A solution using a polynomial realization to describe the CA rule is reviewed in the present study based on the application of an orthogonal least squares algorithm. Three new neighbourhood detection methods are then reviewed as important preliminary analysis procedures to reduce the complexity of the estimation. The identification of excitable media is discussed using simulation examples and real data sets and a new method for the identification of hybrid CA is introduced.
虽然元胞自动机作为一类时空系统已经得到了广泛的研究,但很少有研究者研究如何在观察到模式的情况下识别CA规则。本文基于正交最小二乘算法的应用,综述了一种用多项式实现来描述CA规则的解决方案。然后回顾了三种新的邻域检测方法,作为重要的初步分析程序,以降低估计的复杂性。利用仿真实例和实际数据集讨论了可激介质的识别问题,提出了一种识别混合CA的新方法。
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引用次数: 109
Coalescing Cellular Automata: Synchronization by Common Random Source for Asynchronous Updating 合并元胞自动机:基于公共随机源的异步更新同步
IF 0.3 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2006-05-28 DOI: 10.1007/11758532_44
Jean-Baptiste Rouquier, M. Morvan
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引用次数: 14
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Journal of Cellular Automata
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