principal component analysis

Principal Component Analysis and Singular Value Decompositon methods are applied to design the objective function.

关键元素分析和奇异值分解等方法被应用于设计与此相关的目标方程.

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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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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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BP-ANN and Principal Component Analysis ( PCA) coupled with BP-ANN were applied in the recognition of Fufang Gancao Pian manufactured in six factories, more than 90% of the samples were clustered without error, which indicates strong capability of neural network in complex pattern recognition.

分别用BP神经网络和主成分分析结合BP神经网络的方法对6个厂家的复方甘草片进行了分类识别，识别准确率大于90%，表现出较好的复杂类模式识别能力。

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Using principal component analysis in chemometrics, a distribution feature of the nutritive elements was discussed.

运用化学计量学中的主组分分析方法, 讨论了这些营养元素分布特征.

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Then model was established based on principal component analysis method for assessing aroma quality of cider.

提出以多元统计方法中的主成分分析法解决大型企业中的多元质量控制问题.

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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 classification model of papermaking plant fibrous material was established by using principal component analysis.

运用主成分分析法构造了常用造纸植物纤维原料分类的模型,并将该方法应用于实例检验.

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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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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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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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The mathematic principle of principal component analysis method ( PCA ) lies in coordinate conversion.

主分量分析法 ( PCA ) 的数学原理是坐标转换,它将原变量变换成互不相关的变量.

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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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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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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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Variable selection for complex industrial control system based on principal component analysis

基于主成分分析的一类工业复杂控制系统变量降维选取

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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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Process Monitoring Based on Improved Mixture Probabilistic Principal Component Analysis Model

基于改进混合概率主元分析模型的过程监控

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RBF neural network multiple model switching control based on principal component analysis

基于主元分析的RBF神经网络多模型切换控制

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Principal Component Analysis and Data Reconstruction for Process Monitoring

主元分析及数据重构在过程监控中的应用

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