principal component analysis

基本解释

The principal component analysis(PCA) approach for sensor fault detection, identification and reconstruction in HVAC system is presented.
提出了空调系统传感器故障检测、故障识别、故障重构的主成分分析方法。
Through principal component analysis, we have synthesized numerous indexes, (eliminated) information overlapping of the sample, and reduced the input dimension of BP network.
通过主成分分析法将众多指标进行综合，消除样本间的信息重叠，降低BP网络的输入维数。
Firstly, the spectrum data is processed by principal component analysis(PCA), then, an estimating model based on a Gaussian kernel function is set up using the PCA data and their temperatures.
首先对历史光谱数据进行主成分分析（PCA）处理，再根据PCA特征数据与其表面温度的对应关系建立温度的估计模型，该模型是基于高斯核函数的。

主成分分析
By principal component analysis, we get four main components.
通过主成分分析,得到了4个主成分。
主成份分析
The paper puts the indexes of effective competition in order on the basis of the SCP theory, and constructs a principal component analysis model.
本文以SCP理论为基础,归纳了有效竞争评价指标体系,建立了有效竞争主成份分析模型。
计算机科学技术
主成分分析
Commonly, Principal Component Analysis (PCA) is used to remove the correlation.
一般用主成分分析去除波段之间的相关性。
主元分析
The content includes in the fuzzy segment,BP neural networks and principal component analysis.
内容涉及模糊分割技术、BP神经网络、主元分析技术。
主分量分析
Some kinds of complex methods were discussed in this paper, which combined wavelet, Principal Component Analysis (PCA) and kernel function teconology.
论文尝试将小波技术、主分量分析及核方法相结合,用于处理这类信号。
主要成分分析

主成分回归
Methods used in demonstration-simulation include statistic description and statistic test methods, such as average, non-parametric statistics of two independent samples; induction; methods of multivariate statisticalanalysis, such as multiple linear regression, principal component analysis, etc. ; literature review and so on.3.
实证模拟中应用的具体方法包括各种统计描述和检验方法，如平均数、二独立样本的非参数检验；归纳的方法；多因素分析法，包括多元线性回归、主成分回归等；文献复习法等。
电子、通信与自动控制技术
主成份分析