离散化

Fuzzy cluster is applied to discriminate sample data. then, decision rules are extracted by variable precision rough set theory.

首先利用模糊聚类法对样本上市公司数据进行离散化处理，然后根据变精度粗糙集理论抽取决策规则。

Through the limit difference method,the partial differential equation of the semiconductor device is transformed into a difference equation,and the corresponding boundary condition is discretized with high accuracy.

采用有限差分法把器件工作的偏微分方程转化为差分方程，并将相应的边界条件转化为精度较高的离散化形式。

The modeling of GM (1,1) model is to gain difference equation by dispersing albinism differential equation, then to estimate model parameters by the difference equation.

GM(1，1)模型的建模过程是由白化微分方程离散化得到差分方程，再由该差分方程估计模型参数。

When discrete characteristic of digital images is considered, finite difference approximates differential operator.

考虑数字图像离散化特征，用有限差分近似微分运算，将由PDE描述的反射图方程转化为关于未知高度的代数方程，然后使用迭代算法求解，得到新的SFS算法。

Finally, the discretization design of continuous system is adopted to digitize the system, and the control algorithm based on DSP is advanced.

最后，采用连续系统的离散化设计方法，实现控制系统的数字化，进而转化为满足系统要求的DSP控制算法。

In chapter 4 and chapter 5, the Dirichlet transmission conditions for overlapping Schwarz methods will be replaced by Robin transmission conditions when applied to general linear elliptic partial differential equations.

为了能够直接应用于某些实际问题，本文第六章把最优Robin参数的确定方法推广到由椭圆型问题离散化得到的稀疏矩阵问题。

In order to bypass the difficulty of discretizing the boundary r or the Lebesgue discontinuous set Su in the Mumford-Shah model, we use an edge-detector function and a threshold value to induce a thin-belt where the image boundary lie in and displace the length of the boundary by the area of the thin-belt approximatively.

为避免在离散化Mumford-Shah模型中的边界Γ或Lebesgue不连续集S_u的困难，我们借助边界检测算子和门限值，确定图像边界所在的窄带区域，用窄带区域面积近似边界的长度。

For continuous data knowledge mining,FCM clustering is used to disperse continuous data to discrete variables for rough set to deal with.

对连续数据知识挖掘可采用模糊C均值聚类将其离散化，再应用粗糙集进行约简。

Plasmas wave spectrum is discrete due to the boundary effect.

在边界效应的影响下，等离子波谱将被离散化。

To close the gap of the information-theoretic model of information hiding and make full advantage of discreteness of information hiding activities, the paper proposes a space model of information hiding.

为弥补目前基于信息论的信息隐藏模型缺陷，充分利用信息隐藏活动离散化特点，提出了信息隐藏的空间概念模型。

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。