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特征投影
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  characteristic projection
     Characteristic Projection Method for Avoiding Cutter Interference in 5-Axis NC Machining
     五轴数控加工中刀具干涉处理的特征投影
短句来源
     Presented in this paper is Characteristic Projection Method for avoiding cutter interference in 5-axis NC machining, which carried out interference checking through the detection processing of whether there are surface characteristic points located inside the cutter shape.
     提出了一种适用于五轴数控加工刀具干涉处理的特征投影法。 该方法以刀具系为检测基准,以曲面特征点为检测对象,判断特征点是否落入刀具系表面内部来进行干涉检查;
短句来源
  “特征投影”译为未确定词的双语例句
     Eigenprojections at zero of Drazin invertible operators on a Hilbert space are studied. Two results are obtained. The first result is that if A is a Drazin invertible operator,then Q=A~π if and only if Q~2=Q,AQ=QA,σ(AQ)={0} and A+Q is invertible.
     研究了Drazin可逆算子在0点的特征投影,得到了两个结果:设A是Drazin可逆的,则Q=Aπ的充要条件是Q2=Q,AQ=QA,σ(AQ)={0}且A+Q是可逆的;
短句来源
     The second one is that if E is an idempotent operator commuting with A and A is Drazin invertible with i(A)=k,then the following three statements are equivalent: E is the eigenprojection of A at 0;
     设E是与A可交换的幂等算子,A是Drazin可逆的且i(A)=k,那么下列条件是等价的:E是A在0点的特征投影;
短句来源
     Analysis of Structures and Contents of Non-hydrocarbons in Crude Oils in Conjunction with Heuristic Evolving Latent Projection
     结合直观推导式演进特征投影法分析原油中非烃结构和含量
短句来源
     Qualitative and Quantitative Analysis of Polycyclic Aromatic Hydrocarbons in Environmental Samples by Heuristic Evolving Latent Projections
     直观推导式演进特征投影法对环境样本中多环芳烃的定性定量分析
短句来源
     Analysis of Volatile Chemical Components in Radix Paeoniae Rubra by GC-MS and Heuristic Evolving Latent Projections Method
     赤芍挥发性成分的GC-MS与直观框导式演进特征投影法分析
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  相似匹配句对
     Comparison among projecting features of infrared warship target
     红外舰船目标的投影特征比较
短句来源
     character types have geometry, topological and projection etc types.
     特征类型有几何、拓扑和投影等。
短句来源
     (2)essential features;
     基本特征;
短句来源
     Characteristics of Fault
     错误的特征
短句来源
     Projection of Oriented Object Data Model
     面向对象数据模型的投影
短句来源
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  feature projection
Dimensionality reduction strategies may be characterised either as feature selection or feature projection.
      
Englehart applied feature selection and feature projection that yielded better classification results and improved time efficiency.
      
Feature projection methods attempt to determine the best combination of the original features.
      
Feature projection performed by Singular Value Decomposition outperformed feature selection method based on the Local Discriminant Basis.
      
Figure 2 depicts the results when using PCA feature projection.
      
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  characteristic projection
The two parts of a relation are characterized metrically and in terms of Stone's characteristic projection onto the closure of the linear relation.
      


The history of the methodology on the black analytical systems are first briefly reviewed. The features hidden in hyphenated two-way data are then brought specially into focus in orderto investigate adaptability of the available chemometric methods for black analytical systems. The majorManuscript received on June 30, 1994 The work was supported by the Fok ying tong Education Foundation and Youth Teachcr Foundation of the National Education Committee of P R Chinaideas that come from heuristic evolving latent...

The history of the methodology on the black analytical systems are first briefly reviewed. The features hidden in hyphenated two-way data are then brought specially into focus in orderto investigate adaptability of the available chemometric methods for black analytical systems. The majorManuscript received on June 30, 1994 The work was supported by the Fok ying tong Education Foundation and Youth Teachcr Foundation of the National Education Committee of P R Chinaideas that come from heuristic evolving latent projections (HELP) method will be discussed in detail.some special cases, which can not be resolved by the available methods yet, are presented in the paperin order to attract the attention of the chemometricians.

本文首先对黑色分析体系化学计量学解析方法的发展历史作了简要回顾,为对现存各方法的适应性进行评价,着重讨论了联用色谱二维数据的重要特性。在此基础上,对直观推导式渐进特征投影法的主要思路进行了较详尽剖析。列出几种不同的,现仍不能为已有方法所有效解析之体系,以期引起化学计量学家们的注意。

Almost all of the existing results on the explicit solutions of the matriz equation AX-XB=C are obtained under the condition that A and B have noeigenvalues in common. For both symmetric or shewsymmetric matrices A and B,we shall give out the explicit general solutions of this equation by using thenotions of eigenprojections.The results we obtained.are applicable not only to anycases of eigenvalues regardless of their multiplicities,but also to the discussionof the general case of this cquation.

现有关于矩阵方程AX-XB=C的显式解的几乎所有结论都是在A与B无公共特征值的条件下获得的。本文利用特征投影给出了方程在A与B均对称或反对称时一般解的显式形式。我们所得到的结果不仅适用于任何特征值重数情形,而且可以用来讨论该方程的一般情形。

Based on a recently developed chemometric method, heuristic evolving latent projections (HELP), a new procedure for the analysis of two dimensional HPLC - DAD data is proposed in this paper. The method has been successfully applied for the qualitative and quantitative analysis of polycyclic aromatic hydrocarbons (PAHs) in environmental samples. For overlapping peaks, which are difficult to quantify in one dimensional chromatography, complete resolution with an unique resolution in chemical sense can be obtained...

Based on a recently developed chemometric method, heuristic evolving latent projections (HELP), a new procedure for the analysis of two dimensional HPLC - DAD data is proposed in this paper. The method has been successfully applied for the qualitative and quantitative analysis of polycyclic aromatic hydrocarbons (PAHs) in environmental samples. For overlapping peaks, which are difficult to quantify in one dimensional chromatography, complete resolution with an unique resolution in chemical sense can be obtained with HELP method, making full use of selective information in both spectral and chromatographic directions. With resolution results at hand, three possible methods can then be used for peak quantification. The proposed method greatly lessens the demand on chromatographic separation, and can be directly used for the identification and quantitative measurement of complex samples.

基于新近发展的直观推导式演进特征投影法(HELP),本文提出了一个对二维数据进行同时定性定量的分析方法,并将其成功地用于环境样本中多环芳烃化合物定性定量解析.对于一维色谱难以定量的重叠峰,HELP方法充分利用色谱、光谱两方面的选择性信息,得到了具有真实物理意义的唯一解.在定性分辨结果的基础上,本文还提出了三种可能的定量方法.这种二维数据的解析新方法,能大幅度地降低对色谱分离条件的要求,可直接用于复杂实际样本的定性定量分析.

 
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