查询词典 vector analysis

Aiming at the currently shortage of XML streams quality detecting, this paper proposes a new forecasting method of XML streams quality by least squares support vector machines, which is used the method of XML keys' vector matrix as windows, and vector product wavelet transform to multilevel decompose and refactor the XML streams series, that can fulfill real-time checking demand of XML quality, and ensure constraint, consist- ency and integrality. For even more adapting net load, it proposes a control strategy by weight and adaptive adjustment to ensure XML streams quality.

针对当前XML数据流质量检测存在的不足，提出构建XML键的矢量矩阵作为窗口，利用矢量积小波变换多级分解与重构XML数据流，再结合最小二乘支持向量机对XML数据流质量进行预测的一种方法，满足XML数据流质量重构时实时检测的要求，保证XML数据的约束性、一致性与完整性；为了更好的适应网络负载，采取加权与自适应窗口调整等调度策略充分保证XML数据流的质量检测。

According to the statistic analysis of Prof. Amari on static recognition with neural networks, and introducing the concept of vector position stochastic variable of vector stochastic sequence, the stochastic variable is processed by DRNN. The relationship between input and output variance is analyzed. The stochastic analysis of dynamic identification is given, so as to explain the DRNN characteristics in recognition process.

第二，根据Amari教授对神经网络静态识别时的统计分析，引入矢量随机序列的矢量位置随机变量的概念，以该随机变量经过DRNN处理后，分析其输入与输出方差之间的关系，试给出了DRNN做动态识别时的统计分析，以从理论上说明DRNN在识别过程中的特性。

The shape-form analysis and load analysis were done by nonlinear FEM. On the basis of surface FEM grid nodes, geometry property research of structure curved surface was progressed, including normal vector, GAUSS curvature, mean curvature and principal direction vector. In this process, the approximate expression of surface didn't need to he known.

采用非线性有限元法进行了膜结构的形态分析和荷载分析，得到了曲面有限元网格；通过离散微分几何方法，研究了薄膜结构曲面的几何性质，包括曲面的法线向量、高斯曲率、平均曲率和主方向矢量，避免了复杂的曲面拟合过程。

Based on analyzing regression analysis, neural network and the least square support vector machines that the three soft computing methods fitting for data fitting, in the paper try to use nonlinear regression analysis, the BP neural network based on Levenberg-Marquardt training algorithm, radial basis function neural network on orthogonal least square training algorithm and least square support vector machines for tracking the position of glass plate.

本文在分析适于数据拟合的回归分析、神经网络、最小二乘支持向量机这三种"软计算"方法的基础上，尝试将非线性回归分析方法，基于Levenberg-Marquardt算法的BP神经网络，基于正交最小二乘训练算法的径向基函数神经网络和最小二乘支持向量机应用于玻璃板位的跟踪中。

This article which points out the importance of the partial derivative of the unit vector through the common mistakes in the vector analysis and carries on the analysis of the practical examples enables the general scholars to have a comprehensive understanding to this question.

通过矢量分析中常见的错误，指出了单位矢量的偏导数在矢量分析中的重要性，并举出实例进行分析，旨在使广大学者对这一问题有一个深刻的认识。

Briefly covered vector and tensor notation, vector and tensor algebra, wave kinematics, eigenvectors/values, dimensional analysis, and scale analysis.

简要的介绍向量和张量符号，向量和张量代数，波的运动，特徵向量／值，向量分析，以及尺度分析。

Secondly, a series of computer programs have been developed and verified according to the deterministic chaos theory and algorithms. These programs are deterministic chaos qualitative analysis tools including phase plots and Poincare section analysis software packages; deterministic chaos quantitative analysis tools including the largest Lyapunov exponent, correlation dimension and Kolmogorov entropy analysis codes and classical analysis such as power spectrum, autocorrelation coefficient and Hurst analysis programs.

其次，根据确定性混沌分析技术主要内容的算法思想，自行开发了相图、Poincare截面等定性分析程序软件包；最大李雅普诺夫指数、关联维数和K熵等定量分析程序软件包以及非线性混沌预测程序软件包；同时，还开发了功率谱、自相关系数、Hurst指数等传统分析技术程序软件包；并运用三种典型的周期运动、混沌运动及随机运动时间序列数据，验证了开发的程序。

Abstract〕similar to regression analysis,cluster analysis,etc.,correlation analysis is also the basic work for information researches.canonical correlation analysis can be used to analyze the relationship between two groups of variables,and thus worth for using in information science.method of canonical correlation analysis was presented in present study.a java-based network algorithm of canonical correlation analysis was developed,which can be used to calculate the canonical correlation coefficients,canonical variable pairs,and statistical significance of canonical correlation coefficients.the algorithm may be run on java-compatible web browser.at the same time,paper publishing information and citation statistics in information science of china in past years were analyzed using the algorithm,and a number of conclusions were drawn.

摘 要〕与因果分析等一样，相关分析也是信息资料分析的基本工作。典范相关分析用于分析两组变量之间的关系，在情报信息的相关性分析方面有潜在的应用价值。本研究介绍了典范相关分析方法，给出了典范相关分析的java网络算法软件，可用于计算典范相关系数，典范变量对，以及典范相关系数的统计显著性。该软件可在兼容java的网络浏览器上运行。同时，用该算法对国内情报信息论文的发文和引文统计数据进行了分析，得到了一些结论。

The mainly contents include: the research design of statistical survey, survey methods, the statistical sorting and analysis of information (contingency table, correlation measurement, inferential statistics, regression analysis, variance analysis, cluster analysis, factor analysis, principal component analysis), the composing of investigation report and the appliance of SPSS.

课程对社会统计和社会调查研究方法进行全面的介绍，要求学生牢固掌握社会统计和社会调查的基本研究方法，能熟练运用社会统计和社会调查的方法和技术从事社会研究工作，对社会统计学的概念和术语有一般程度的掌握，能应用SPSS软件进行社会统计和调查工作。本课程主要内容包括：统计调查的研究设计、资料的调查方法、资料的整理与统计分析方法（列联表、相关关系测度、推断统计、回归分析、方差分析、聚类分析、因子分析、主成分分析等）、撰写调查报告、SPSS应用等。

This article examines the dairy industry in the light of the analysis frame of the industrial chain with industrial organization\'s SCP analysis model, the game theory analysis method, the value chain analysis method, the case analysis and the econometric analysis method and has carried on a systematically theoretical discussion of and the empirical analyses of five key links of the longitudinal dairying industry chain and their cooperation mechanisms.

本文把奶业纳入产业链的分析框架，运用产业组织的SCP分析范式、博弈论分析方法、价值链分析方法、案例分析和计量经济分析方法对乳业纵向产业链的五个主要环节及其协作链接方式进行了系统的理论探讨和实证分析。

Vishnu entered a dark fourth dimensional dream that did not support his field or continued life.

毗瑟挐进入了一个第四密度的黑暗梦想，那里并不支持他的能量场或继续生命。

Leaders and decision-making persons use it to collect the data, including the information of unit work, handing in fee, oweing fee, prepaying fee,changing and afterpaying and account transfering of joining-insurance employee, and account paying of all kinds of insurances from hospitalization insurance institutions.The collected data is picked up, organized, switched and showed to user.

该子系统主要面向各级领导、决策分析人员；从各个医疗保险经办机构和定点医疗机构采集数据，包括在各个医疗保险经办机构处理的单位办公信息，单位缴费、欠费、预缴费信息，参保职工变更信息，参保职工增减变动信息，参保职工补缴信息，参保职工帐户划拨信息：包括各定点医疗机构处理的各险种帐户支出信息，各险种的统筹金支付信息等；将采集的数据提取，组织和转换，然后展示给用户。