Shall hardness, tensile strength and its elongation rate are principal data to indicate the quality of rubber materials.
邵氏硬度、拉伸强度和伸长率是考核橡胶材质力学性能的重要指标。
Computers increasingly become principal actors in leveraging data to formulate questions, which requires radically new ways of reasoning.
计算机日益成为利用数据来制定问题的主要角色，而这需要全新的推理方法。
The principal DB2 UDB data movement utilities are export, import, and load.
主要的DB2UDB数据移动工具有export、import和load。
PI Documents: a list of documents that will help principal investigators understand the goals of the LSDA project and help with the submittal of reports and data.
产品改进文档是文献列表，这些文献能够帮助主要调查者理解LSDA计划的目标，提交报告和数据。
Then 5 main factors affecting urban air quality to principal component analysis identify the most representative of the original data instead of the 2 to 3 factors 5 variables.
并对影响城市空气质量的5个主要因素进行主成分分析，找出最能代表原来数据信息的2至3个因子代替原来的5个变量。
If you ask Ned Wright, a UCLA astrophysicist and WISE principal investigator, he'll tell you, "It's really kind of flimsy."It's there, but they don't have super data.
如果你问的是加州大学洛杉矶分校的天体物理学家及WISE首席研究员奈德·莱特时，他会这样告诉你，“其实这是站不住脚的，它在那里，但是他们没有数据来证明。”
If you ask Ned Wright, a UCLA astrophysicist and WISE principal investigator, he'll tell you, "It's really kind of flimsy." It's there, but they don't have super data.
如果你问的是加州大学洛杉矶分校的天体物理学家及WISE首席研究员奈德·莱特时，他会这样告诉你，“其实这是站不住脚的，它在那里，但是他们没有数据来证明。”
If you ask Ned Wright, a UCLA astrophysicist and WISE principal investigator, he'll tell you, "It's really kind of flimsy. It's there, but they don't have super data."
如果你问的是加州大学洛杉矶分校的天体物理学家及WISE首席研究员奈德·莱特时，他会这样告诉你，“其实这是站不住脚的，它在那里，但是他们没有数据来证明。”
Then all data were analyzed by principal component regression (PCR) and partial least square (PLS).
采用主成分回归（PCR）和偏最小二乘法（PLS）对试验数据进行了多元统计分析。
Combining the principle of the Principal Component Transform and various data processing methods, automatic detection of land using changing information can be implemented by different methods.
结合主成分变换原理和不同的数据处理过程，可以用不同的方式实现土地利用变化信息的自动发现。
Multi-Scale Principal Component Analysis for data reconstruction of the faulty sensor is discussed.
讨论了基于多尺度主元分析的故障传感器数据重构问题。
Principal component analysis (PCA) is used in data compressing and statistical features extracting.
主分量分析技术通常用于数据压缩和统计特征的提取。
Cluster analysis and principal component analysis on data of anthropometry from Asian populations showed that Asian populations could be divided into north populations and south populations.
本文通过对亚洲群体体部测量资料的聚类分析与主成分分析，认为亚洲群体可分为北方类群与南方类群。
Based on the condensed questionnaire comprehensively employed four psychological tests, the structure of personality quality of manager is built in using principal component analysis to process data.
通过综合运用四种心理测验进行问卷调查，采用主因素分析法进行数据处理，建立了管理者应具备的人格素质结构。
The combined use of principal component transform and IHS color transform provides a powerful information extraction tool for multispectral data processing.
主成分变换和彩色变换相结合，为多波段数据信息提取提供了一种新的方法。
Industrial applicability, high temperature tolerance, and fast data processing constitute the principal advantages of this system.
方便的工业适用性、宽阔的温度范围以及快速数据处理是这个系统的主要特点。
The principal deficit in making synthetic seismograms is that the input data commonly are incomplete.
制作合成地震记录主要的不足之处是输入资料不全。
Results Analyzing the data with principal component analysis(PCA) by model recognition, the different agents can be distinguished in the scattered plots.
结果所得的数据通过模式识别法中的主成分分析（PCA），在得分散点图中实现了对不同种类的制剂的区分。
Global principal components analysis (GPCA) model is presented to the multidimensional dynamic data system and the time sequence solid data table is three-dimensionally synthesized and simplified.
对多维动态数据系统给出了全局主成分分析(GPCA)模型，并对时序立体数据表进行立体式的综合与简化。
The principal component analysis in multivariate statistic analysis is a method of compressing the dimension of vector data by extracting principal typical components from sample data set.
多元统计分析的主成份分析方法是对多维矢量数据提取主要特征分量，以此达到压缩矢量维数的目的。
This paper deals with the multivariate vector analysis of quality data by geometric transformation, rotating coordinates and computation of the principal component of initial variables.
本文讨论多元质量数据的矢量分析方法，几何变换，坐标旋转和初始变量的主分量计算不同变量的主分量值。
Obtained: Partial Least Squares iterative algorithm to handle data sheet leaflet extraction equivalence with Principal Component Analysis.
证明出，偏最小二乘迭代算法在处理单张数据表成分提取时与主成分分析相同。
Using the principal component analysis method, this paper analyzes a part of the sample data from the "Classroom Teaching Quality Evaluation System" of Shanghai Maritime University.
利用主成分分析法，对上海海运学院“教师课堂教学质量评价指标体系”的部分样本数据进行统计分析。
Trace interpolation plays an important role in seismic data processing. Spatial aliasing is a principal troublesome problem in seismic trace interpolation.
道间插值方法在地震资料处理中具有十分重要的作用，而地震道空间内插所面临的主要问题是空间假频。
Gives a method for the measurement of distortion and principal distance, as well as for data processing in cameras used in precision measurement.
介绍了一种精密测量相机畸变和主距的测量及数据处理方法。
For example, plots of principal component scores can help identify outliers in the data when they exist.
例如，主成分得分的情节，可以帮助鉴别孤立点数据，当他们存在。
Using the method of principal component Analysis based on the sample data of 65 individuals with normal pulmonary function, we obtained the first and second principal components.
根据65例正常肺功能的样本数据，应用主成份分析方法，我们算得第一、第二主成份。
In this paper, based on the correlation matrix analysis of sample data, a principal component analysis method is used.
在本文的模型估计部分，依据样本数据相关矩阵分析结果，采用了样本主成分分析的方法。
By far, the most important reason for performing a principal components analysis (PCA) is to use it as a tool for screening multivariate data.
到目前为止，最重要的原因为执行一个主成分分析(PCA)是使用它当作一个工具，用于筛选的多元数据。
By far, the most important reason for performing a principal components analysis (PCA) is to use it as a tool for screening multivariate data.
到目前为止，最重要的原因为执行一个主成分分析(PCA)是使用它当作一个工具，用于筛选的多元数据。
应用推荐