查询词典 discretization

The fuzzy clustering methods of the discretization is based on transitive closure.It has passed through a series of identical transformation. It may lose a lot of information in discretizated decision-making.

研究了基于模糊聚类的离散化方法，他们都是基于传递闭包的方法，经一系列的非恒等变换，使得离散后决策表信息丢失较多。

In this paper a discretization algorithm based on importance of cut point. Firstly, the paper gives some concept of rough set theory:decision table,indiscernible relation,information entropy and condition entropy.

粗糙集理论可以用在数据挖掘的各个阶段，该文研究了粗糙集理论在数据挖掘的数据离散化阶段的应用，并提出了一个新的决策表离散化算法。l 基本概念及离散化问题的描述定义1 。

Boundary element method is a kind of numerical algorithm on boundary; it is based on the boundary integral equation and employs the element discretization technique.

边界元属于边界型的数值方法，它是以边界积分方程为数学基础，同时采用了有限元法的单元离散技术。

An efficiency integral formulation and weighted vector function are used. The storage and computing time are reduced by virtue of the efficient finite element discretization technique.

为了提高计算精度，达到工程设计的要求，论文提出一种改进算法，即利用有限元法与有效的积分方程结合，使天线辐射特性的副瓣的计算精度提高了2dB。

Two special cases are discussed: flow due to a constant pressure gradient and flow due to a periodic one; In chapter 4, on the basis of the method of fractional element proposed by Schiessel et al and of the generalized fractional element networks proposed by Xu and Tan and by the use of discretization method for solving the inverse Laplace transform, we obtain the creep compliance of Zener and Poynting-Thomson models which are composed of the generalized fractional element networks.

并讨论了如下两种特殊情形：常压力梯度下的流动和周期性压力梯度下的流动；第四章在Schiessel等提出的分数阶单元法和徐明瑜等提出的广义分数阶单元网络的基础上，应用离散求逆Laplace变换的方法，给出并讨论了广义分数阶单元网络Zener和Poynting-Thomson模型的蠕变柔量。

In the present work,the existence and uniqueness results aboutperiodic boundary value problems for different kinds of the nonlin-ear periodically perturbed nonconservative systems are establishedthrough the discretization technique,under suitable assumptions,by using global inverse function theorem and result about the ex-istence and uniqueness of periodic solution for nonhomogeneouslyfirst order linear periodic boundary value problem.

本文的第一章概述了在讨论原问题解的存在唯一性过程中以及构造和分析相关的数值求解方法时将要用到的全局反函数定理、有关矩阵特征值的若干重要引理、线性常微分方程非齐次周期问题解的存在唯一性定理和单参数影射方法及有关结论，并简单回顾了已有的证明非线性微分方程周期边值问题解的存在唯一性的方法，其中包括谱理论、最大最小化形式方法、摄动技术和全局反函数理论方法，最后，介绍了两类数值求解非线性微分方程问题的方法。

Based on the proof of Fayyad and Irani, in this paper the improved approaches for discretization and the penalty term of continuous-valued attributes of C4.5 algorithm were extended.

基于Fayyad和Irani的证明，对C4.5算法在连续值属性离散化和连续值属性惩罚项等方面进行了改进。

Each step of the iteration is to solve a linear semi-infinite programming that is transformed into a linear programming by frequency discretization.

每步迭代都是求解一个线性半无穷规划，通过离散化处理线性半无穷规划可以转化为线性规划来求解。

The equations of a high-speed rotating plate are obtained using Jourdain＇s velocity variation principle and the finite element method and MTA are used for discretization.

基于Jourdain速度变分原理，先推导出做高速旋转薄板的动力学连续变分方程，再用有限元法对柔性薄板进行离散。

Results show that radial basis function and point interpolation methods possess Kronecker Delta function property, but the robustness is poor in some cases; the MLS approximation function does not possess Kronecker Delta function property, but it has good robustness. Differences among the three discretization schemes of meshless method are as follows:the collocation method requires no numerical integration and very little computational time while its robustness is poor; Galerkin method is not a truly meshless method due to the background meshes required for integration; the Petrov-Galerkin method is a truly meshless method and need numerical integration in each sub-domain, so it needs more computational time.

分析结果显示：径向基函数和点插值法均具有d 函数属性，但计算稳定性差；移动最小二乘近似函数不具有d 函数属性，但计算比较稳定；无网格方法中的3种离散方法不同之处在于：配点法不需要积分，计算量小，计算稳定性差；Galerkin方法需要借助背景网格进行积分，它不是真正的无网格方法；Petrov-Galerkin方法，是一种真正的无网格方法，它需要对每个子域进行积分，计算工作量较大。

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。