PCA

The cumulated dosage of CBI and PCA morphine as gradually decreased as the age increased.

累积用药总量和累积PCA按压次数随着年龄的增加而显著下降.

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Conidia were not produced on Richards medium and PCA medium.

在5种培养基中Richards培养基和PCA培养基不产孢.

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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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Objective To study expression of integrin α v � � 3 in prostate carcinoma ( PCa ) and to evaluate its clinical significance.

目的探讨整合素αvβ3在前列腺癌 ( PCa ) 中的表达及意义.

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The soft - sensing prediction model - centration of citric double - effect evaporator process is founded on the PCA - BP neural network.

笔者采用PCA -BP 神经网络建立了蒸发过程出料液浓度软测量预测模型.

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Kernel PCA effectively captures the nonlinear among the process variables and is easy to implement on - line .

核函数PCA能有效地提取过程变量的非线性关系,而且计算复杂度低,便于 在线 实施.

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In processing asunder distributed data, a fast PCA algorithm was proposed.

提出了在数据分布比较分散情况下的一种快速的PCA数值计算方法.

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A novel extraction approach based on partitioning PCA for extracting cell cycle - regulation genes was established.

为了克服这一方法的弱点,提出分块PCA, 并以此为基础形成一种提取细胞周期调控基因的新方法.

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Then use PCA to obtain a transformation matrix to get better feature.

接着,使用PCA找 出转换矩阵,以求取得更好更有辨认能力的特征.

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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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Moreover, PCA is a special case of modular PCA.

此外, pca是 分块pca的特殊情况.

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This paper proposes a face recognition algorithm based on the principle components analysis ( PCA ) reconstruction.

提出一种基于主向量分析 ( PCA ) 重建的人脸识别方法.

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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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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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For some nonlinear problems, the improvement on PCA and solutions to the limitations were presented accordingly.

针对一些具体的非线性问题, 提出了若干改进的PCA方法,以及消除其局限性的方法和建议.

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