• The discretization of BIE is based upon constant elements.

    边界积分方程的离散基于常数元模式。

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  • FEM requires a discretization (a mesh or a model) of a domain.

    FEM需要对域进行离散化(一个网格或者模型)。

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  • Simulated results show this discretization error cannot be neglected.

    模拟计算结果表明,该离散化误差不能忽略。

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  • Improve a greedy algorithm for discretization of continuous attribute.

    改进了连续属性离散化的贪心算法。

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  • In this paper a discretization algorithm based on importance of cut point.

    提出一种基于断点重要性的离散化算法。

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  • The discretization of continuous properties is very important in data mining.

    连续属性的离散化在数据挖掘中有着非常重要的作用。

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  • A data preprocessing method based on multi continuous attribute discretization.

    基于多连续属性离散化的数据预处理方法。

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  • Given the stability, error estimate of full discretization for the linear equation.

    给出该线性方程全离散的稳定性和误差估计。

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  • The finite volume discretization method and treatment of boundary condition were presented.

    采用有限容积法离散方程,附加源项法处理边界条件。

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  • In the data integration stage of KDD, data discretization is one of the most important jobs.

    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。

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  • The discretization of real value attributes is one of the most main problems in rough sets theory.

    连续属性的离散化是粗糙集理论的主要问题之一。

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  • The stability and convergence of spectral collocation method spatial semi-discretization are given.

    给出了谱配置方法空间半离散格式的稳定性和误差估计。

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  • Then the author's researches on data discretization and attribute reduction are introduced in detail.

    随后论文重点对作者在数据离散和属性约简两个方面做的研究工作进行了阐述。

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  • Discretization of continuous type of attributes is a key issue in machine learning, it is a NP puzzle.

    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。

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  • It mainly carries on the continuous process stochastic differential equation discretization of the research.

    技术上的思想主要是将连续过程的随机微分方程离散化来进行研究。

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  • The new method can realize the discretization of multiple features and converge to the preset conflict level.

    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。

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  • Based on algorithm C4.5, this paper has put forward a new discretization method based on attribute transforming.

    在c4.5算法的基础上,讨论了新的基于属性变换的连续属性处理方法。

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  • This paper presents a cluster method for discretization in the processing of mining quantitative association rules.

    应用聚类方法研究了数量关联规则提取过程中的连续属性离散化问题。

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  • In such a distribution, this method breaks the data up in an effort to establish equal discretization into multiple areas.

    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。

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  • Current model is the key part in the rotor flux linkage oriented control system, and its discretization analysis is conducted.

    电流模型是转子磁链定向控制的关键,这里对其进行了离散化分析。

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  • While the act of discretization generates the architectonics and terraces of the building, the bending creates entrances and views.

    而体块离散的方式产生了建筑特殊的外观和建筑的阳台,倾斜部分创建入口和良好的视野。

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  • The difference approximation is called the partial discretization method, and the overall fitting the overall discretization method.

    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。

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  • By successively spatial and temporal discretization, functionals after spatial and temporal discretization are obtained respectively.

    对此泛函相继进行空间和时间域离散分别给出了新的泛函。

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  • This paper gets discretization equation by integrating the basic equation of unsteady heat conduction and writes a calculating program.

    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。

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  • This paper introduces a polygon discretization technique into the network model decomposition method to solve waveguide eigenvalue problems.

    本文将多边形离散技术引入网络模型分解法中,用来求解波导特征值问题。

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  • The spatial discretization method is used to detect the fast collision among moving objects and collision between moving objects and terrain.

    为了实现运动物体与地形的匹配,采用了一点匹配法和面匹配法。

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  • Since it is an inverse problem, numerical techniques, such as discretization of the integral into a system of linear equations, are necessary.

    由于这是一个反问题,一些数字技术比如将积分离散化为一个线性方程组是必需的。

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  • A new numerical method for the fractional integral that only stores part history data is presented, and its discretization error is estimated.

    提出了一种只需要存储部分历史数据的分数积分的数值计算方法,并给出了误差估计。

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  • A new numerical method for the fractional integral that only stores part history data is presented, and its discretization error is estimated.

    提出了一种只需要存储部分历史数据的分数积分的数值计算方法,并给出了误差估计。

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