Registry是用于服务交互端点描述的主元数据存储库。
Registry is the master metadata repository for service interaction endpoint descriptions.
Registry andRepository是用于服务交互端点描述的主元数据存储库。
Registry and repository is the master metadata repository for service interaction endpoint descriptions.
WebSphereServiceRegistry andRepository是用于服务交互端点描述的主元数据存储库。
WebSphere Service Registry and Repository is the master metadata repository for service interaction endpoint descriptions.
一个Atom订阅源由一个主元素feed组成，其中包括一些初始的元数据(例如，订阅源标题、作者、URL、它引用的全部内容的URL)。
An Atom feed consists of a single main feed element, which includes some initial metadata (for example, the title of the feed, any authors, its URL, and the URL of the overall content it refers to).
主成分分析法可以提取样本集的主元，从而降低样本的维数，甚至可以实现样本的最优压缩。
Principal component analysis method can reduce dimensions of samples and even produce optimal compression of samples.
对主元模型的故障检测能力进行了详细的分析计算。
Fault detection and diagnosis sensitive capacity of PCA model was analyzed and calculated in detail.
讨论了基于多尺度主元分析的故障传感器数据重构问题。
Multi-Scale Principal Component Analysis for data reconstruction of the faulty sensor is discussed.
内容涉及模糊分割技术、BP神经网络、主元分析技术。
The content includes in the fuzzy segment, BP neural networks and principal component analysis.
在训练阶段，核-主元分析用来捕捉非线性的手写变化。
In the training phase, kernel principal component analysis is used to capture nonlinear handwriting variations.
为此，提出了基于主元分析法和FRF的井架损伤识别方法。
Therefore, the derrick damage identification method based on principal component analysis and FRF is put forward.
论文提出了一种基于改进的自适应主元提取算法的人脸识别方法。
An improved adaptive principal component extraction algorithm based face recognition method is proposed in this paper.
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。
This paper presented a new multi-template character recognition method based on principal component analysis(PCA).
对于连续生产过程，可以采用普通的主元分析方法进行过程数据分析；
For continuous process, the normal PCA can be used to analyze the process data.
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 authors try to use multivariate statistics method based on principal component analysis (PCA) to monitor continuous casting mould process.
提出一种基于人脸肤色统计模型和主元分析(pca)的人脸检测和定位方法。
This paper presents a human face detection and localization approach which is based on skin color detection and principle component analysis (PCA).
提出一种基于核主元分析(KPCA)和多级神经网络集成的汽轮机故障诊断方法。
One new method for fault diagnosis of steam turbine based on kernel principal component analysis (KPCA) and multistage neural network ensemble was proposed.
为此提出了一种多向核主元分析(MKPCA)算法用于间歇过程的建模与在线监测。
A method based on multiway kernel principal component analysis (MKPCA) was proposed to capture the nonlinear characteristics of normal batch processes.
对多元统计过程控制常用的分析方法进行了介绍和总结，如主元分析、多向主元分析。
Conventional analytical methods used in Multivariate Statistical Process Control, such as Principal Component Analysis, Multi-way Principal Component Analysis are summarized.
然而，传统主元分析直接应用于工业过程时，由于其本身性能的限制，会出现很多问题。
However, when applying conventional PCA to industrial process monitoring, a lot of problems appear because of its performance limit.
应用基于主元分析的故障诊断方法对浮式油轮生产储油卸油系统进行故障检测与诊断研究。
Used fault diagnosis method based on Principal Components Analysis to research the fault monitoring and diagnosis of Floating Production Storage and Off-loading system.
基于主元分析(pca)的统计检测方法已经被广泛应用于各种化工过程的故障检测和识别。
Numerous statistical process monitoring methods based on principal component analysis (PCA) have been developed and applied to various chemical processes for fault detection and identification.
应用主元分析方法将高维数据转换到低维数据空间，这使得过程监测可以在低维的空间内进行。
High dimension was changed into low dimension by using principal component analysis method, process detecting could be carried out in the low dimension space.
概率主元分析(PPCA)能够根据过程变量的预测误差及其主元的白化值实现对过程的监控。
Probabilistic principal component analysis (PPCA) can realize the process monitoring (according) to the whiten values of process variables' prediction error and their scores.
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。
This paper proposes a face recognition method based on PCA and LVQ neural networks.
在多变量统计过程控制中，传统的方法主要包括主元分析和偏最小二乘，这些方法存在着诸多缺陷。
Principal component analysis (PCA) and partial least squares (PLS) are the conventional techniques of multivariate statistical process control but exist some defects.
为了提高道路识别算法的鲁棒性和自适应性，提出了基于局部统计特征和主元分析的道路识别算法。
A new road recognition algorithm based on local statistical features and principal component analysis is introduced to improve its robustness and adaptiveness.
在具体分析了多种建模方法的基础上，提出了核主元分析结合最小二乘支持向量机软测量建模方法。
On the basis of analysis of several methods for modeling, a soft sensor based on kernel principal component analysis (KPCA) and least square support vector machine (LSSVM) is proposed.
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 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.
将多方向主元分析（MPCA）理论应用到一个实际的PVC间歇反应过程的性能监测与故障诊断中。
This paper presents monitoring and fault diagnosis of a PVC batch process using multi way principal component analysis (MPCA).
基于这个变量体系，我们运用主元因素分析法编制了一个可反映上市公司治理水平的综合指标——G指标。
Applying the principal component analysis method (PCA) to these variables, we compile a single composite index (G-Index) to rank Chinese listed firms' corporate governance levels.
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