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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Moreover, PCA is a special case of modular PCA.

此外, pca是 分块pca的特殊情况.

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.

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.

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.

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.