连续属性通过极大熵方法离散化。
Continuous attributes are discretized through maximum entropy method.
改进了连续属性离散化的贪心算法。
Improve a greedy algorithm for discretization of continuous attribute.
运用边界单元法将边界积分离散化。
The boundary integral equation is discretized by the boundary element method.
提出了一种离散化交通分配模型。
A discrete time stochastic traffic assignment model is proposed.
提出一种基于断点重要性的离散化算法。
In this paper a discretization algorithm based on importance of cut point.
采用控制容积法对控制方程进行离散化；
The governing equations were discretized by control volume integration method.
为便于问题的求解，将模型进行离散化。
The model is discretized for the convenience of solving the problem.
基于多连续属性离散化的数据预处理方法。
A data preprocessing method based on multi continuous attribute discretization.
离散化的复数电压测量误差跟踪修正技术。
The error tracking correction technique of digital disperse complex number voltage measure.
模拟计算结果表明，该离散化误差不能忽略。
Simulated results show this discretization error cannot be neglected.
连续属性的离散化是粗糙集理论的主要问题之一。
The discretization of real value attributes is one of the most main problems in rough sets theory.
离散化正向传输减少了神经元上保持值的种类数目。
The discretized forward broadcast decreases in number of kinds of the hold-value on neurons.
FEM需要对域进行离散化(一个网格或者模型)。
FEM requires a discretization (a mesh or a model) of a domain.
连续属性的离散化在数据挖掘中有着非常重要的作用。
The discretization of continuous properties is very important in data mining.
本文采用了连续化的模型，计算离散化剪切型结构的动力参数。
The paper USES the continuum model to calculate the dynamic parameters of shearing structures.
离散化之后，得到年超越概率的综合表达式及其相应的解析近似。
After their discretion, it is possible to obtain the expression and analytical approximation for the annual probability of exceedance.
在KDD的数据集成阶段，数据离散化是其中一件非常重要的工作。
In the data integration stage of KDD, data discretization is one of the most important jobs.
文中称差分近似为局部离散化方法，称整体拟合为整体离散化方法。
The difference approximation is called the partial discretization method, and the overall fitting the overall discretization method.
接着对连续子波变换在时间尺度平面上的离散化的概念作了扼要描述。
The concept of-the discrete case of continuous wavelet transform in time-scale plane is introduced.
连续型属性的离散化问题是机器学习中的关键问题，是一个NP难题。
Discretization of continuous type of attributes is a key issue in machine learning, it is a NP puzzle.
该方法可以自动实现多特征的离散化操作，并且收敛到预设的冲突水平上。
The new method can realize the discretization of multiple features and converge to the preset conflict level.
本文对基于粗集的数据预处理中数据补齐和连续属性离散化问题进行讨论。
This thesis discusses the question of data reinforce and continuous feature discretization which is based upon data preprocessing of rough set.
此文根据非稳定热传导基本方程式积分得到离散化方程式，编写出计算程序。
This paper gets discretization equation by integrating the basic equation of unsteady heat conduction and writes a calculating program.
采用时间有限差分离散化方法求解超空泡流积分方程，得到了问题的数值解。
Solving integral equations of supercavitating flow based on the finite difference time discretization method, some numerical results are obtained.
在这种分布中，此方法将对数据进行分解，以便在多个区域中建立相同的离散化。
In such a distribution, this method breaks the data up in an effort to establish equal discretization into multiple areas.
跟踪求交是参数曲面求交常用的算法，而对于离散化的曲面也可以采用类似的方法。
A marching method for intersection is a common using algorithm for solving intersection of parametric surfaces, as well as that of discrete surfaces.
有效的离散化可以显著地提高系统对样本的聚类能力，增强系统对数据噪音的鲁棒性。
Effective data discretization can obviously improve system ability on clustering instances, and can also make systems more robust to data noise.
通过定义离散化方案之间的偏序关系以及交、并运算，将各种离散化方案组织成离散格。
All discretization schemes are organized into a lattice named discretization lattice after partial order relation, then the meet and join operations between discretization schemes are defined.
首先提出主泛化决策等概念，在数据过滤方法的基础上，利用等价类的合并对属性离散化。
Its basic idea is to merge the equivalence classes of q on basis of the methods of data filtering.
首先提出主泛化决策等概念，在数据过滤方法的基础上，利用等价类的合并对属性离散化。
Its basic idea is to merge the equivalence classes of q on basis of the methods of data filtering.
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