The water quality in Dagujia River basin was assessed by using the PCA method.
采用主成分分析法(PCA)，对大沽夹河流域水质进行了定量化综合评价。
The results show that the PCA method has good performance in fault detection and diagnosis.
结果表明主成分分析法具有很好的故障检测和故障诊断能力。
In this paper, the image shape feature extracted by the PCA method can meet the needs of the recognition layer well.
在该文的形状识别系统中，用P CA法提取图像的形状特征，能够较好地满足识别层的输入要求。
The result shows that the proposed method obtained high recognition rate than that of the traditional ICA and PCA methods.
实验结果表明该方法要比常规的基于ICA和PCA的人脸识别算法的识别率要高。
The paper introduced the conditions of establishing node important function by using PCA method and gave example application.
介绍了运用PCA法建立节点重要度函数，并应用节点重要度推断路段交通量，还作了实例应用。
The results showed that in the 5 transects, PCA method was able to detect the edge influence depth with 3 transects, while MSWT could explain 4 transects.
结果表明，5条样带中，主成分分析法可以判定3条样带的影响域，而移动窗口法可以判定4条。
Through the experiment, the PCNN method is efficient, it can segment seal texture from the whole seal image precisely and PCA method can also register the seals precisely.
通过试验表明，本文提出的结合PCNN的方法可准确的将有效印文从复杂背景中分割出来。
At the same time, vehicle types are classified using PCA method of the pattern recognition based on vehicle noise, and some primarily study is done for vehicle recognition.
同时对所采集的车辆声音信号应用模式识别中的主分量分析法实现了车辆的简单分类，为实现车型识别作了一些初步的探索。
The PCA method is mainly used to research on fault detection while FDA to fault isolation and identification. The two methods interact and make up a complete fault diagnosis system.
其中着重使用PC A方法进行故障检测的研究，使用FDA方法进行故障分离和识别的研究，并将两种方法相互配合，构成完整的故障诊断系统。
Existing temporal component extraction method USES multiple regression analysis (MRA) after the application of temporal PCA to estimate the amplitude of resultant components and thus made it up.
现有的时间成分提取法在进行时间pca之后，利用重回归分析来估计成分的波形和振幅，从而弥补了这一缺陷。
Aiming at the preceding problem, this paper puts forward a feature selection method using Information Gain (IG) and Principle Component (Analysis) (PCA).
针对上述问题，提出了信息增益(IG)与主成分分析(PCA)相结合的特征选择方法。
A nonlinear filtering method based on principle component analysis (PCA) was proposed according to the statistical characteristics of the Doppler ultrasound blood flow signal and wall thump signal.
根据超声多普勒血流信号和血管壁搏动信号的统计特性，提出了一种基于主元分析的非线性滤波方法。
A new fusion of PCA and NMF combined with image fusing for face recognition method is proposed.
提出一种结合图像融合的PCA与NMF相融合的人脸识别的识别方法。
The authors try to use multivariate statistics method based on principal component analysis (PCA) to monitor continuous casting mould process.
尝试性地将基于主元分析的多变量统计方法应用于连铸结晶器过程的监测。
The method can also be extended to Primcipal Component Analysis (PCA).
此方法还可以引申到主分量分析（PCA）。
Conclusion the transrectal ultrasound guided automatic biopsy technique of the prostatic cancer is the method to diagnose PCA, it would be used widely in clinical practice.
结论经直肠超声引导下前列腺癌穿刺活检术是确诊前列腺癌的有效检查方法，值得临床推广应用。
The authors present a new method to remedy the negative effect arising from slant vehicle license plates character segmentation and recognition based on principal component analysis (PCA).
为解决机动车牌图像倾斜将对其字符分割与识别带来不利的影响，提出一种基于主元分析(PCA)的车牌图像倾斜校正新方法。
The paper briefly introduced the theoretical foundation of MSP method, which include Principle Component Analysis (PCA), Principle Component Regression (PCR), and Partial Least Squares (PLS).
介绍了多变量统计投影方法的主要理论基础，包括：主元分析(PCA)、主元回归(PCR)、偏最小二乘(PLS)。
Principal component analysis (PCA) has found wide application in chemical process monitoring and product quality control as a data-driven modeling method.
主元分析(PCA)作为数据驱动的一种统计建模方法，在化工产品质量控制与故障诊断方面得到广泛研究和应用。
Based on Principal Component Analysis (PCA) for remote sensing image, a new method was applied into identifying the spatiotemporal distribution of sea reclamation quickly and exactly.
基于遥感主成分分析(PCA)，论文提出一种快速、准确及经济地识别填海造地时空分布的新方法。
Patient-controlled regional analgesia (PCRA) is a new analgesic method composed of regional nerve block and PCA.
应用区域神经阻滞并结合自控镇痛形成患者自控区域镇痛，是一种新的镇痛方法。
This paper proposes a face recognition method based on PCA and LVQ neural networks.
提出利用主元分析（PCA）和学习矢量量化神经网络（LVQ）相结合的方法进行人脸识别。
In this paper, a method based on within-class average faces of two-dimensional PCA is proposed for face feature extraction.
该文提出了一种基于二维pca的类内平均脸方法进行人脸的特征提取。
This paper presented a new multi-template character recognition method based on principal component analysis(PCA).
本文提出了一种基于主元分析法（PCA）的多模板字符识别算法。
Systematic clustering method and PCA are used to divide area. 36 counties are divided into 5 areas.
用系统聚类和主分量分析方法，对困难程度进行分区，共分出5个区。
Because of using L2 norm, Principal Component Analysis (PCA) method is sensitive to outliers.
主成分分析方法由于使用了L2范数，因此对异常值较敏感。
The research shows that the proposed approach is capable of overcoming flaws of stage-based sub-PCA modeling method as well as depending less on demands of data from process and prior knowledge.
研究表明，论文给出的方法能够克服常规多阶段PCA监控方法的缺陷，减小了对过程数据的要求和对过程先验知识的依赖。
The result indicated: the method has a higher recognition rate than the traditional LDA and PCA in the lower dimension space.
实验表明，本文提出的方法在低维空间比传统LDA和PCA有更高的识别正确率。
Principal Component Analysis (PCA) is a main multivariate statistical method for getting principal information from observational data.
主成分分析法是从观测数据中获取主要信息的一种多变量统计方法。
Principal Component Analysis (PCA) is a main multivariate statistical method for getting principal information from observational data.
主成分分析法是从观测数据中获取主要信息的一种多变量统计方法。
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