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非线性主成分分析
相关语句
  nonlinear principal component analysis
     Pellet Quality Prediction Model Research based on Nonlinear Principal Component Analysis and Adaptive Wavelet Neural Network
     基于非线性主成分分析与自适应小波神经网络的球团质量预测模型研究
短句来源
     Analisysing listed company financial condition in China, building nonlinear principal component analysis model, and applied the model, gives right evaluation results.
     文章通过对我国上市公司的财务指标进行综合分析 ,构建了我国上市公司财务状况综合分析的非线性主成分分析模型 ,并应用该模型对上市公司财务状况进行了合理的评价 .
短句来源
     Using the NCEP/NCAR reanalysis data of 500hPa geopotential height during January 1948 to March 2005,the nonlinear characters of teleconnections of the general circulation during winters over the northern hemisphere are investigated in this paper by the means of EOF and Nonlinear Principal Component Analysis. It is concluded that the NLPCA is obvious superior to the EOF in abstracting the lower-dimensional structer in datasets when comparing the results of the two methods with the observational reality.
     利用NCEP/NCAR再分析500 hPa高度场资料,采用EOF和非线性主成分分析(NLPCA,Nonlinear Principal Component Analysis),研究了北半球冬季大气环流遥相关型的非线性特征,并将两种分析的结果与实际观测相比较,结果表明:NLPCA在提取资料场序列的低维非线性相关结构方面比传统EOF有明显的优越性。
短句来源
     Seeing that there are many process variables, great lagging behind and long periodicity, a pellet quality prediction model based on nonlinear principal component analysis and adaptive wavelet neural network is proposed, Proved by example, the model proposed in this paper has better effect than that of common BP neural network model in the course of the simulated predication.
     鉴于系统的过程变量多、滞后性大、周期性长的特点,提出并建立了基于非线性主成分分析与自适应小波神经网络的球团质量预测模型,并用实例证明,该模型在质量预测中与传统的BP神经网络模型相比有较好的效果。
短句来源
     NONLINEAR PRINCIPAL COMPONENT ANALYSIS OF LISTED COMPANY FINANCIAL CONDITION IN CHINA
     我国上市公司财务状况的非线性主成分分析研究
短句来源
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  “非线性主成分分析”译为未确定词的双语例句
     Model of the Regional Logistics Developmental Integrated Evaluation Based on Nonlinear PCA
     基于非线性主成分分析法的区域物流发展综合评价模型
短句来源
     A New Nonlinear PCA Fault Diagnosis Method
     一种新的非线性主成分分析故障诊断
     We will enumerate some algorithm examples, including linear and non-linear principle component analysis and independent component analysis.
     本文将列举几种降维算法,包括经典主成分分析,非线性主成分分析,独立成分分析以及非线性独立成分分析,并对这几种方法进行比较,给出实验数据。
     Research on the model of synthetic evaluation of quality education based on non-linear principal component analysis
     基于非线性主成分分析的综合素质评价模型研究
短句来源
     This paper presents a proposed evaluation model based on the three properties of the information security system defined by ISO17799.First,the information security system model with three hierarchies is established by arranging and classifying the subsets of the three properties of the information security system.
     首先基于ISO17799所提出的信息安全三属性,建立了信息安全系统评估的层次模型,然后将多元统计分析中的非线性主成分分析法(NLPCA)应用到该评估模型中。
短句来源
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  相似匹配句对
     The relationships between signs of aging, diseases, gender and age
     形体老化与疾病的非线性主成分分析
短句来源
     Fault diagnosis in auto-body assembly process based on non-linear principal component analysis
     基于非线性主成分分析的车身制造偏差源诊断
短句来源
     Nonlinear Diffusion
     非线性扩散
短句来源
     Nonlinear Expectation
     非线性数学期望
短句来源
     PCA and algorithms analysis
     主成分分析及算法
短句来源
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  nonlinear principal component analysis
Sensor fault detection, isolation and reconstruction using nonlinear principal component analysis
      
Nonlinear principal component analysis provides evidence that the Northern Hemisphere extratropical atmosphere supports three distinct circulation regimes with an average residence time of about 7?days.
      
A nonlinear principal component analysis of the relationship between budget rules and fiscal performance in the European Union
      
We propose a nonlinear principal component analysis to solve these problems and evaluate the relative disciplinary power of each rule.
      
Projection techniques for nonlinear principal component analysis
      
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Objective To study the computing methods of the combined variables in multivariate analysis of the quality of survival.Methods The nonlinear principal component analysis is used to composition variables measuring the quality of survival and linear regression is used to composition influencing variables on the survival quality.Results The variance proportion drawn by the first principal component is 0 9948 and weights of three combined variables composed by influencing factors on the survival quality are...

Objective To study the computing methods of the combined variables in multivariate analysis of the quality of survival.Methods The nonlinear principal component analysis is used to composition variables measuring the quality of survival and linear regression is used to composition influencing variables on the survival quality.Results The variance proportion drawn by the first principal component is 0 9948 and weights of three combined variables composed by influencing factors on the survival quality are 0 35,0 32 and 0 33.Conclusion Using nonlinear principal component analysis and linear regression to computing combined variables are suitable to the influencing factors analysis on the survival quality.

目的 探讨生存质量的影响因素分析中综合指标的编制方法。方法 用对变量作非线性变换和线性回归的方法编制生存质量和影响因素的综合指标。结果 对 396例胃癌患者生存质量的 18个条目作单调样条变换后作主成分分析 ,所得到的综合指标可反映 99 4 8%的方差信息 ,用回归方法编制出影响胃癌生存质量的 3个集团因素 ,它们对生存质量的影响权重分别为 0 35 ,0 32和 0 33。结论 非线性主成分分析和回归方法编制的综合指标可用于生存质量的影响因素分析。

Analisysing listed company financial condition in China, building nonlinear principal component analysis model, and applied the model, gives right evaluation results.

文章通过对我国上市公司的财务指标进行综合分析 ,构建了我国上市公司财务状况综合分析的非线性主成分分析模型 ,并应用该模型对上市公司财务状况进行了合理的评价 .

The distribution and structure of the allelic polymorphism data are analyzed and it is pointed out that the distribution of allelic polymorphism data reveals the characteristic of closed data (also named as compositional data or data of constant sum).It is interpreted that the correlation structure of the allelic polymorphism data contains null correlations introduced by "closure" and the statistical distribution of the data is not normal because of its constant row sum,which resulted in great difficulties in...

The distribution and structure of the allelic polymorphism data are analyzed and it is pointed out that the distribution of allelic polymorphism data reveals the characteristic of closed data (also named as compositional data or data of constant sum).It is interpreted that the correlation structure of the allelic polymorphism data contains null correlations introduced by "closure" and the statistical distribution of the data is not normal because of its constant row sum,which resulted in great difficulties in analyzing the data with traditional multiple linear statistical methods such as principal component analysis,factor analysis,cluster analysis and canonical correlation analysis.Based on the theory of compositional data analysis proposed by Aitchison in 1982,a multiple nonlinear statistical method originating from the "logratios" approach to the statistical analysis of compositional data is put forward in this paper.As an example,the "logratios" method was used to analyze the genetic structure of TH01 polymorphic loci in Chinese population and the results were compared with those of multiple linear methods such as component principal.It is concluded that the "logratios" multiple nonlinear principle component analysis is a better method with the virtue of sensitivity and specificity for analyzing the genetic structure of population from the data of allelic polymorphism.

长期以来 ,对于多维基因多态性数据的多元统计分析 ,如计算遗传距离时所用的聚类分析、分析群体遗传结构时所用的主成分分析、因子分析和典型相关分析等 ,一直应用为无约束条件数据而设计的经典多元线性分析方法 ,并没有注意基因多态性数据的“闭合效应”所带来的问题。从分析基因多态性数据的分布和结构特征入手 ,文中指出了基因多态性分布具有“闭合数据”的特点 ,分析了由于“闭合效应”的影响 ,经典多元线性方法用于群体遗传结构分析所面临的困难。根据成分数据统计分析的理论和方法 ,提出了基因多态性群体遗传结构的多元非线性分析基本方法。并以主成分分析为例 ,通过实例比较和分析了经典线性主成分分析和“对数比”非线性主成分分析的结果 ,证明“对数比”非线性主成分分析方法是研究基因多态性群体遗传结构的良好方法 ,具有特异、灵敏等优点 ,其结果符合群体遗传学规律

 
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