细胞自动机

A new class of approach for image restoration based on two-dimensional Cellular Automata is proposed.

提出了一类基于二维细胞自动机和细胞神经网络的图像滤波新方法。

Based on the failure characters of concrete structures, the two-dimensional physical cellular automaton, a model cellular automaton, is set up.

根据混凝土的结构与破坏特征，建立了一种细胞自动机一～二维物理细胞自动机的基本模型。

The analysis in theory proves that cellular automaton is equal with a stochastic process that described by stochastic difference equations. The primary differential equation is expectation of this stochastic process. And its variance function is controllable. These results show that cellular automata are in agreement with primary differential equation in the statistical sense.

理论分析证明：该方法设计的细胞自动机等价于一个可用随机差分方程描述的随机过程，该随机过程以原微分方程为期望函数，并且，其方差函数是可控的，表明细胞自动机和原微分方程在统计意义上是一致的。

According to the characteristics of elementary cellular automata, partitioned matrix is employed to define t he local rules in the form of the matrix for the elementary cellular automata.

针对初等细胞自动机的特点，使用分块矩阵对初等细胞自动机的局部规则进行了基于矩阵形式的定义。

In this paper, a new kind of two-dimensional Cellular Automata is studied. Several algorithmic rules are discovered that can be used to design new Cellular Neural Networks which can implement shadow detector and overstriking for character recognition. Their Boolean expressions and learning algorithms are introduced detailedly.

摘要该文深入研究了一种新的二维细胞自动机，找到了几种新的算法规则可以用来实现字符的粗化处理和阴影检测，并且用这些规则设计了几种新的细胞神经网络，文中详细介绍了这些算法规则的布尔代数表达式和细胞神经网络学习算法。

According to the property that all states of a certain cellular automata can build a permutation group, we can design block cipher based on this property.5. One simple cellular automata and one simple linear feedback shift register have been implemented.

根据有些细胞自动机的所有状态可以构成一个循环群这一特点，指出了利用细胞自动机构造分组密码的方式。

The basic theory of cellular automata, the ways how algorithms are designed based on cellular automata and the security of the algorithms have been discussed in this thesis.

本文主要对细胞自动机的基本理论、利用细胞自动机构造密码的各种方式及其安全性进行了研究。

Combined with self-organized theory of cell ular automata and elasto - plastic theory, the elasto-plastic cell ular automata updating rule is presented.

将细胞自动机的自组织理论与弹塑性理论相结合，推导了分析平面塑性问题的细胞自动机更新规则，采用Weibull随机分布模拟岩石类材料的非均质性，元胞单元服从简单的本构关系和一定的强度准则，建立平面弹塑性细胞自动机模型，开发了相应的数值分析软件。

As a step towards such a perspective, Pattern formation in generalized cellular automata is studied in this paper, different dynamic behaviors are classified, a definition of edge of chaos is proposed, and experiments are described where self-making patterns emerge which reminiscent of simple living systems.

论文研究了一种离散空间的耦合细胞系统：广义细胞自动机的模式形成过程，对模式演化的动力学行为进行了分类，给出了一个混沌边缘定义，模拟实验显示了在混沌边缘区域类似简单生命系统的自组织模式的突现，同时研究了记忆对GCA动力学的影响。

For the elementary ce llular automata, these researching results imply that we can get the involving r esult at the moment t+1 from any state combination of a cell and its neighbo r at the moment t by the computation of the recognition function and its alg orithm.

对于初等细胞自动机，这些研究的成果意味着在 t 时刻任何一个细胞及其邻居的状态的组合，都可以利用识别函数及其运算法则的函数运算得到 t+1 时刻的演化结果。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。