1) principal component projection
主成分投影
1.
According to OEW, a comprehensive decision-making model based on principal component projection (PCP) is set up, which is applied to land quality.
对信息熵理论进行了概述,提出了客观熵权(OEW)的概念,并给出了OEW的构造方法,进而建立了主成分投影(PCP)的综合决策模型,并在土地质量综合决策中进行了应用。
2.
Therefore, a multi-index evaluation model against ERP software vendor is established based on the principal component projection, which provides a theoretical basis for enterprise to make right selection of ERP software vendor.
为此,根据主成分投影的原理,建立了针对ERP软件供应商的多指标的评价模型,旨在为企业提供正确选择ERP软件供应商的理论依据。
3.
This paper studies the selection of index system for evaluation of regional ecological security and weighting method,establishes the model of the principal component projection to assess regional ecological security.
本文探讨了区域生态安全评价指标的选取和赋权方法,建立了区域生态安全的主成分投影评价模型,并通过安徽省17个地级市的实证分析,得出具有较强实际意义的结论,为区域生态安全评价研究和生态安全管理实践提供理论基础。
2) principal component projection
主成分投影法
1.
Applying the principal component projection method in evaluation of regional ecologic security,by empirical analysis of17regional-cities in An Hui Province,this paper proves that this method can truly reflect the situations o.
利用主成分投影法评价区域生态安全状况,并通过安徽省17个地级市的实证分析,得出了具有较强实际意义的结论。
2.
The principal component projection was applied to the assessment of urban ecosystem health of Ningbo.
文章以宁波市生态系统为例,利用主成分投影法评价城市生态系统健康状况,评价结果表明:宁波市的生态系统健康状况有所上升,但健康改善程度并不显著。
3) Principle component projection analysis
主成分投影分析法
4) projection discrimination based on PCA
基于主成分分析的投影法
5) inverse projection principal component analysis
逆投影主元分析
6) Principal Component Analysis based on Projection Pursuit
投影追踪主分量分析
1.
To make feasible application of such theories and algorithms to high-dimensional system, a nonlinear technique called Principal Component Analysis based on Projection Pursuit (PP PCA) is introduced, which decomposes any signal into an orthogonal linear expansion of waveforms.
采用投影追踪主分量分析法 (PrincipalComponentAnalysisbasedonPro jectionPursuit,PPPCA)对高维Lorenz模型系统进行了降维的研究。
补充资料：滤波反投影或卷积反投影
滤波反投影或卷积反投影
影像学术语。当代影像学设备进行影像重建的数学方法。在直接用扫描后所获得的投影轨迹剖面图反投影重建出的CT图像中，无法避免角度卷入条纹伪影(angular aliasing streaks)造成的模糊和失真。这种现象与被扫描层面的空间频率中高频信息的损失有关。使用一种精密的数学方法去除这种模糊。称为“展现”(unfolding)或去卷积(deconvolution)，即在反投影前使用一种数学的“滤器”或卷积函数对原始数据进行修正，然后再进行反投影。两步数学处理过程合称为滤波(修正后)反投影或卷积(后)反投影。这种方法的优点是处理过程简单，速度快，所得图像逼真、清晰。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条