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principal component     
相关语句
  主成分
     Z2=0.118 X1+0.100 X2+0.143 X3+0.886 X4+0.209 X5+0.914 X6+0.619 X7.It can decrease data operation and predigest analysis by right of principal component.
     Z2=0.118X1+0.100X2+0.143X3+0.886X4+0.209X5+0.914X6+0.619X7。 以主成分来分析冷后浑的组成,可以起到减少数据计算,简化分析和预测的功效。
短句来源
     The first principal component function is Z 1=-8.51254+0.00136X 1'+0.3192X 2'+0.04352X 3'+0.03984X 4',which is closely related to sperm survival rate (X 3), sperm forward mobility (X 2), normal morphology rate (X 4);
     主成分分析第一主成分函数Z1=-8 5 12 5 4+0 0 0 13 6X1+0 0 3 192X2 +0 0 43 5 2X3 +0 0 3 984X4中 ,与其关系密切的是X3 、X2 和X4;
短句来源
     An Application to Insurance Market on Principal Component Analysis and Factor Analysis
     主成分和因子分析在保险市场分析中的应用——乌鲁木齐保险市场影响困素分析
     The first principal component mainly reflects the enrichment degree of Cu,Pb,Zn,Ni,Cd,As and Hg,while the second principal component reflects the enrichment information of Cr and Ni and the release information of Hg.
     第一主成分主要反映重金属Cu,Pb,Zn,Ni,Cd,As和Hg的富集程度,第二主成分主要反映了重金属Cr和Ni的富集信息量以及Hg的释放信息.
短句来源
     in second principal component TM(4 X 3/7),TM(4/3) and TM4 that indicate the grad of covery vegetation and reflecte of water provide a majority of contribute.
     第二主成分中反映植被覆盖度、水体反射的TM(4×3/7)、TM(4/3)和TM4贡献率较大。
短句来源
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  主分量
     After principal component analysis (PCA), independent component analysis (ICA) is another useful tool for multidimensional data analyzing.
     独立分量分析(Independent Component Analysis, ICA)是继主分量分析(Principal Component Analysis, PCA)之后的又一分析多维数据的有力工具。
短句来源
     This paper focuses on the speaker recognition system based on Mel-frequency Cepstrum Coefficients (MFCC) and Gaussian Mixture Model (GMM), which are combined with the methods of F ratio, Principal Component Analysis and Independent Component Analysis.
     在众多的说话人识别方法中,本文重点研究了基于Mel频率倒谱系数(Mel-frequency Cepstrum Coefficients,简称MFCC)特征和高斯混合模型的说话人识别系统,结合F比、主分量分析和独立分量分析等方法做了以下研究工作:
短句来源
     The interannual variability of the monthly mean temperature in winter of Gansu is studied by a rotated principal component analysis.
     利用甘肃省58个台站1961年12月~1991年2月的平均气温资料,采用旋转主分量分析方法,研究了甘肃省冬季月平均气温的时空特征。
短句来源
     Principal component analysis (PCA) is one of the standard methods for data fusion. In this paper, a new algorithm--adding wavelet coefficients principal component analysis (AWPCA) is presented, which is based on principal component analysis (PCA) and is gotten from combining PCA and wavelet transform.
     主分量分析方法 (principal component analysis,简称 PCA)是一种经典的遥感数据融合技术 ,在主分量分析方法的基础上 ,将小波变换与其结合起来 ,提出了一种新的基于小波叠加的 PCA融合算法 (adding wavelet coefficients principal component analysis,简称 AWPCA) .
短句来源
     Principal Component Analysis on Lofar Spectrum Features of Underwater Target Signals
     水下目标信号的Lofar谱图特征的主分量分析研究
短句来源
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  主成份
     Employing methods of principal component and factor analysis, the main sources influencing precitation's pH,their contributions and the clearing mechanism by precipitation are studied in this paper.
     本文采用了主成份分析及因子分析的方法,研究了影响降水pH值的主要源及其贡献和这些源被降水清除的机制。 分析结果表明:大气中一次污染物是影响降水pH及各种成分浓度的主要因素。
短句来源
     Principal component analysis of technological parameters of PVC profile
     PVC异型材工艺参数的主成份分析法
短句来源
     A Principal Component Projection Method for Multiindicies Decision and Evaluation
     主成份投影法用于多目标决策与评价
短句来源
     The Method of Principal Component Evaluation for Listed Company Management Performance
     上市公司经营业绩的主成份评价方法
     The Principal Component Analysis of Marketing Factors
     营销因素的主成份分析
短句来源
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  主元
     Face Recognition Based on Principal Component Analysis and Fuzzy ART Neural Model
     基于主元分析和Fuzzy ART模型的人脸识别算法
短句来源
     Optimizing Acrylonitrile Reactor Based on Principal Component Analysis and Fuzzy C-Means Cluster
     基于主元分析与模糊C均值聚类的丙烯腈反应器优化
短句来源
     Face Recognition Based on Gabor Wavelet and Two-Dimensional Principal Component Analysis
     基于Gabor小波和二维主元分析的人脸识别
短句来源
     Combined with the traits of Two-Dimensional Principal Component Analysis (2DPCA) and Independent Component Analysis (ICA), the concept of Two-Dimensional Independent Component Analysis (2DICA) is presented in this paper. Firstly, dimension reduction is done to the preprocessed face images by way of 2DPCA, and the whitened matrix is obtained. Then, the independent components of face images are acquired by way of ICA.
     针对二维主元分析(Two-Dimensional Principal Component Analysis,2DPCA)和独立元分析(Independent Component Analysis,ICA)的特点,给出了二维独立元分析(Two-Dimensional Independent Component Analysis,2DICA)的概念。
短句来源
     Road Recognition Algorithm Using Principal Component Neural Networks and K-Means
     基于主元神经网络和K-均值的道路识别算法
短句来源
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  principal component
A study on the principal component analysis (PCA) was done, taking the first canonical variable coordinate values as the phenotypic character gradient axes (PCGA).
      
The modified natural power method for principal component computation
      
The connection and difference between KPCA (Kernel Principal Component Analysis) and GDA is discussed.
      
To reduce the dimensions of the dataset resulted in a total of 28 spectral clusters of land-cover of which two clusters were urban/bare soil and water, the images were processed using principal component analysis (PCA).
      
Based on Remote Sensing (RS), Geographical Information Systems (GIS), and the Spatial Principal Component Analysis (SPCA) method, the integrated assessment and changes in the ecological environment of Daning River Watershed are studied in this paper.
      
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Rational mining intensity in coal seams is an important basis for planning and distribu-tion of mine output. In this article, in consideration of the fundamental technological fea-tures of hydrautic mining production and on the basis of field experiences, a preliminary study has been made in connection with the planning and research method for mining inten-sity in hydraulic mining of coal seams, for a given water-supply installation (water flow)Problems dealt with herein include. (1) The basic expression and...

Rational mining intensity in coal seams is an important basis for planning and distribu-tion of mine output. In this article, in consideration of the fundamental technological fea-tures of hydrautic mining production and on the basis of field experiences, a preliminary study has been made in connection with the planning and research method for mining inten-sity in hydraulic mining of coal seams, for a given water-supply installation (water flow)Problems dealt with herein include. (1) The basic expression and composition of principal parameters for mining intensity in hydraulic coal mining; (2) The interrelation of principal component parameters such as the productive capacity of monitors, number of monitors in simultaneous operation, etc; (3) important factors that influence planning and selection of parameters and some economico-technical problems that should be considered.It has been found that, on the condition that relative stability of roof above coal seam is maintained during hydraulicking, acquirement of low water-coal ratio and high productive efficiency is the principal gauging standard for rational mining intensity as well as for the selection and planning relevant parameters. The thickness of coal seam is the main objective condition to be considered. Correctly using the above objective factors with thickness of coal seam as a basis, in dealing with noz-zle diameters, number of monitors operating simultaneously and interrelation between rele-vant parameters, a better planning method may be woked out and a set of practicable nume-rical values on the ground of concrete conditions may be obtaind All these will become an important task for future research work in regard to determining the rational mining inten-sity in the hydraulic mining of coal seams.

煤层合理开采强度是矿井产量设计和分配的重要依据.本文在体会水采生产工艺基本特点及现场经验的基础上,对给定供水设备(流量)条件下的水采煤层开采强度设计研究方法进行了初步探讨.文中所涉及的问题包括:(1)水采煤层开采强度的基本表达方式及主要参数组成;(2)水枪生产能力,同时开动(工作)水枪台数等几个主要组成参数间的联系;(3)影响各参数设计选择的主要因素及应当考虑的一些主要技术经济问题.文中认为:以保持煤垛上方顶板在冲采期间相对稳定为前题,取得低的水煤比和高的生产效率是合理开采强度及有关参数选择设计的主要衡量标准,煤层厚度是主要考虑的客观条件.正确的根据煤层厚度等客观因素,辩证的处理喷嘴直径,同时工作水枪台数及有关参数间的关系并针对具体条件寻求一套更完善的设计方法和具体数值是今后水采煤层合理开采强度研究工作的一项重要任务.

In this paper the theory and techniques of lag regrression analysis or prediction object with the principal statistical combination factorsobtaind by principal component analysis are presented. The last part offers a practical example, a statistical analysis andrediction of the autumn's rainfall in the Hotung Region of Kansu.

本文是介绍由主成份分析法提取的主要统计组合因予对予报对象作后延回归分析的理论与方法最后部分是一个实际例予——甘肃河东地区秋季降水的统计分析和予报、

A process for filtering the polar coordinates is proposed in this article by combining both the traditional processes, namely the average of figures and the harmonic analysis. It allows us to separate the three principal components (i. e. those of long term, Chandierian period and annual period)of the polar coordinates with a shorter series of data and a higher fitting accuracy. The procedure is as follows: Let the values of the polar coordinates at epoches t (t=0, 1, …, 22, in unit of 0.05 yr. )be D_1,...

A process for filtering the polar coordinates is proposed in this article by combining both the traditional processes, namely the average of figures and the harmonic analysis. It allows us to separate the three principal components (i. e. those of long term, Chandierian period and annual period)of the polar coordinates with a shorter series of data and a higher fitting accuracy. The procedure is as follows: Let the values of the polar coordinates at epoches t (t=0, 1, …, 22, in unit of 0.05 yr. )be D_1, make sums as the equations (4) and (5). The secular term S can be found from the equations (7) or(12), then J_1 and L_1 from the equations (8) and(13). Having deduced the equations(10) and(15)by the least square mzthod, the amplitude and the phase of Chand-lerian component G, P_c and those of annual component A, P_a are obtained respectively. Furthermore, a discussion is given on the amelioration of smoothness of the secular trend of each components by extending the datum-period, and a relative criterion is set up for estimation and comparison of the smoothness.

本文将传统上分离地极坐标的两种方法,即数值平均法和调和分析法结合起来,提出了一种滤波方法。能用较短序列的资料和以较高的拟合精度分离地极坐标的三个主要分量(即长期项、张德勒项和周年项)。最后,对于扩展资料提高各分量长期趋势的平滑度作了讨论,并建立了一个评估和比较这一量的相对标准。

 
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