1.
The Application of Time Series Analysis and All-around PCA in the Real Estate Cycle Fluctuations
中国房地产周期波动研究——一个基于时序全局主成分方法的分析
2.
Study on Timing Characterization Analysis Method Considering Global False Path of SoC;
基于全局伪路径的SoC时序特性分析方法的研究
3.
Analysis and Application of the Global Characteristics Cluster
时间序列全局特征聚类分析方法及其应用
4.
The Application of Time Series Analysis and All-around PCA in the Economic Dynamic Description of Guangxi Province;
基于时序全局主成分分析的广西经济发展动态描绘
5.
The application of time series analysis and all-around PCA in the economic dynamic description;
时序全局主成分分析在经济发展动态描绘中的应用
6.
The Performance Appraisal of the Reform of the Rural Credit Co-operatives--Time Series Analysis Based on Some West Region Sample;
农村信用社改革的成效考察——西部某地区调查的时序全局主成分分析
7.
The Whole-region Method of Chaotic Time Series for Slope Deformation Prediction
边坡变形预测的混沌时间序列全局近似方法
8.
Path-Based Approaches of Static Timing Analysis
Path-Based静态时序分析方法
9.
A Combination of Forecast Method of Securities Price Based on Integration of Time Series Analysis and Shape Theory;
集成时序分析与形态理论的证券价格预测方法
10.
Image retrieval based on global and local dominant colors in MPEG-7
综合MPEG-7全局及局部主颜色的图像检索方法
11.
The Design about Financial Distress Discriminant Analysis Mode of Companies in Chian s Stock Market;
全局主成分法在上市公司财务预警中的应用研究
12.
Application of Global Principal Components to Land Intensive Utilization: Case Study on China s Central Area;
全局主成分法在土地集约利用评价中应用——以中部地区为例
13.
Global breakpoint is one fundamental technique of debugging distributed programs.
全局断点技术是用户调试程序的一种基本方法。
14.
Decision-making of Road Passenger Transport Terminal Layout Based on PCA and BP Neural Network
基于主成分分析-BP神经网络的道路客运站场布局决策方法
15.
Face recognition based on locally linear embedding and principal component analysis
基于局部线性嵌入与主成分分析的人脸识别方法
16.
LMI-based Approach for Global Asymptotical Stability of Delayed Neural Networks
基于LMI方法的时滞神经网络的全局渐近稳定性分析
17.
Unable to build file '%1' into the Global Assembly Cache; the file is not a strongly-named assembly.
无法将文件“%1”生成到全局程序集缓存中；该文件不是强名称程序集。
18.
Research on Character Choosing of Multivariate Time Series Based on the Principle Component Analysis
基于主分量分析的多维时间序列特征选择方法研究