principal component

Practical potential of principal component analysis ( PCA ) and linear discriminant analysis ( LDA ), training and inspection.

实用可能的主成分分析 ( PCA ) 和线性判别分析 ( LDA ), 训练和检查.

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Principal Component Analysis ( PCA ) and non-parametric tests were performed to assess relationships.

主成分分析 ( PCA ) 和 非 参数检验用于测定两者之间的关系.

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Finally uses principal component analysis and Logistic regression model to construct financial warning model.

最后运用主成分分析法和Logistic回归的方法构建财务预警模型。

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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

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Soil fertility could be evaluated objectively by principal component analysis.

土壤主成分分析能较为客观地评价土壤肥力水平.

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Principal Component Analysis between Body Conformation Linear Traits and Milk Yield in Holstein Cows

荷斯坦牛体型线性性状对泌乳量的主成分分析

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Descriptive and principal component analyses were used to analyze data.

资料分析方法采用一般描述性分析和主成分分析等。

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Based on the theory of metapopulation, this paper studied the response of different leaf cutting Capsicum frutescens metapopulation to simulated short term insect pestes during high temperature period in July. Variance analysis ( ANOVA), principal component analysis ( PCA) and plant growth analysis were applied.

基于拟种群理论，运用方差分析法、主分量分析法及植物生长分析法，研究7月高温期辣椒拟种群不同程度的剪叶对模拟短期虫害的反应。

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Result indicates that Fuzzy Principal Component Method can improve multicollinearity of Least Squares Estimate.

结果表明,这种方法改善了最小二乘回归中的多重共线性问题,具有实用价值.

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Principal component analysis is widely applied to the multivariate calibration.

主成分分析是全光谱分光光度分析中常用的校正方法.

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Objective To explore the robust diagnostic method when there are outliers in principal component regression.

目的探讨主成分回归模型中存在异常点时的稳健诊断方法.

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Principal component analysis was used to derive soil fertility variation factors.

运用主成分分析选取土壤肥力变异因子.

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Principal component analysis ( PCA ) is an important method widely used in data compression and feature extraction.

主分量分析是一种线性特征抽取方法,被广泛地应用在人脸等图像识别领域.

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An FPU ( Floating-Point Unit) is the principal component in graphics accelerators, DSPs ( Digital Signal Processor) and high performance computer systems.

浮点单元FPU（Floating Point Unit）成为图形加速器、DSPs和高性能计算机的基本部件。

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Study on the Fault Detectability of Principal Component Analysis

主元分析方法的故障可检测性研究

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A popular decomposition called principal component analysis ( PCA ) is widely used for feature extraction.

主成分分析 ( PCA ) 分解法被广泛地应用于特征抽取的过程.

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The Application of the Least Square and Principal Component Analysis to the Differentiae on Body Conformation among Some Yellow Cattle Breeds

最小二乘分析和主成份分析在黄牛体型特征差异性分析方面的应用

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Immediately using principal component analysis statistical analysis of selected indicators, the thesis establishes L distinguishing model.

随后运用主成分分析对选取的指标, 建立了L判别模型.

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Four kinds of discrete transform principal component regression methods were established by combining wavelet packet transform, wavelet transform, Fourier transform and discrete cosine transform with principal component regression. Calculating programs were designed to perform the calculation by discrete transform principal component regression methods.

将离散小波变换、小波包变换、傅里叶变换和离散余弦变换与主组分回归方法结合构成4种离散变换主组分回归方法，编制了离散变换主组分回归方法的计算程序。

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Principal component analysis of geographic influence on adult lung compliance

主成分分析法评估地理分布对成年人肺顺应性参考值的影响

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Principal component analysis and distribution of paraffinic hydrocarbons in crude oils produced in Asia and Africa

常见亚非原油饱和链烷烃分布特征及主成分分析

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Principal component-stepwise regression algorithm was proposed for the determination of pulp kappa number by near-infrared spectroscopy.

主成分 - 逐步回归法用于纸浆卡伯值的近红外光谱法测量建模.

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Principal component analysis on dermatoglyphics of populations in China

中国人群肤纹的主成分分析

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KPCA extracting principal component with nonlinear method is an improved conventional PCA.

摘要核主成分分析方法是主成分分析的改进算法,其采用非线性方法提取主成分.

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Algorithm for outlier detection based on principal component analysis and sum of attributes distance

基于PCA及属性距离和的孤立点检测算法

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Slang had been a principal component of his rattling.

他唠叨的主要是一些假语村言.

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Principal component analysis and cluster analysis are performed to refine the features of these sequences.

用主成份分析法和聚类技术提炼这些运动学片段的特征.

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We use the One Way ANOVA, Principal component analysis and Multiple Regression as study model.

研究主要采用了方差分析 、 主成分分析和多元回归模型.

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The values of analytical continuation at different depths from the potential field downward constitute the continuation field, on which the principal component analysis is made.

位场向下在不同深度上解析延拓的值构成延拓场，可对延拓场进行主成份分析。

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A combination of principal component and model-based cluster analysis is used to characterize the electrofacies.

采用主成分与基于模型的聚类分析组合来表征电相.

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