向量性的用英语怎么说，向量性的的英文翻译

词语导航

基本信息

词语：向量性的

繁体：向量性的

拼音：xiàng liáng xìng de

英语翻译

【计】 vector-oriented

分词翻译

向量的英语翻译：

vector
【计】 V; vector quantity
【医】 vector; vector quantity

翻译例句

1. ScalableVectorGraphics(可缩放向量图形，SVG)是来自W3C的一种基于XML的图形标准，为原有的网页增加了互操作性和丰富性。

Scalable Vector graphics (SVG) is an XML-based graphics standard from the W3C that provides interactivity and richness to existing Web pages.

2. 如果等价性检查失败，检查器会生成一个输入向量序列，它可以在仿真中使用以便演示两个电路之间的差异。

If an equivalence check fails, the checker generates an input sequence of vectors that, when simulated, demonstrates the differences between the two circuits.

3. 支持向量机(SVM)是一种新的通用学习机器，它从结构风险最小化的角度，分析了学习过程的一致性、收敛速度等。

Support vector machine (SVM) is a new general learning machine, which analyzes the consistency of learning and speed of convergence from structure risk minimization principle.

4. 最后，利用择一性定理，获得了含不等式和等式约束的广义次似凸集值映射向量最优化问题的最优性条件。

Finally, the optimality conditions for vector optimization problems with set valued maps with equality and inequality constraints are obtained with it.

5. 稀疏向量法通过利用向量的稀疏性来提高求解矩阵方程的效率，它被成功地应用到电力系统分析的众多问题。

The sparse vector method enhances the efficiency of matrix solution algorithms by exploiting the vector sparsity. It has been successfully applied to many problems arising in power systems.

6. 其中根据各样本重要性的不同，引入了加权支持向量机方法，然后利用免疫规划算法对其进行参数优化。

The immune programming algorithm, inspired by the immune system of human and other mammals, was used to optimize the parameters of weighted support vector machines.

7. 鉴于后者有着对于光顺性的特殊要求，已有的支持向量机并不适用。

Whereas SVM is not suitable for the smoothing regression, a modified support vector regression model is proposed.

8. 并在广义凸性和广义单调性的条件下，给出了隐向量均衡问题的解的存在性。

In addition, under the generalized convexity and generalized monotonicity, solution existence for implicit vector equilibrium problems is investigated.

9. 本文给出了一些度量随机变量之间或随机向量之间的相关性的方法，尤其适用于定性变量之间的相关性。

In this paper, we sugg-est some kinds of the measures of correlation between random variables or random vectors, especially for the qualitative variables.

10. 向量组的线性相关性是线性代数中的重要概念，也是解决问题的重要的理论根据。

Linear relation of vector group is an important concept in linear algebra and is also an important theoretical foundation of solving problems.

11. 最后根据状态矩阵的左右特征向量系的正交性，对给出的状态矩阵进行对角化。

State matrix is diagonalized according to the orthonormality of left and right eigenvector series about the state matrix.

12. 运用此定理，在线性空间中建立了带广义不等式约束的向量极值问题的最优性条件。

By the alternative theorem, the optimality conditions of vector extremum problems with generalized inequality constraint are established in linear space.

13. 为了提高文本分类的准确性，研究并设计了一个基于潜在语义分析和支持向量机的多类文本分类模型。

A multiclass text categorization model based on latent semantic analysis and support vector machine is researched and designed to enhance the accuracy of categorization.

14. 本文的目的是研究一些典型的NURBS曲面的几何连续条件，指出节点向量和曲面片的次数对几何连续性的影响。

The aims of this thesis are researching some typical NURBS surfaces" geometric continuous conditions and pointing out the effects of knot vector and the degree of surface on geometric continuities.

15. 该算法在可控性矩阵中将输入矩阵用其列向量的极大线性无关组代替，并使用矩阵的行初等变换；

By using the elementary row transformation in the controllable matrix, the input matrix is replaced by the maximally linear independent set of its column vectors.

16. 在网络信息检索中，基于文档向量空间的分类、聚类、排序与相关性反馈需要计算相似度。www.weNTIyi.cOM

In network information retrieval, based on document vector space, class, cluster, ranking and relevance feedback need to compute similarity.

17. 利用向量组线性相关性的基本判别定理1和2，给出了判别两个向量组等价及其线性相关性的推论1和2及应用举例。

In this paper, two inferences and their applied examples about the equivalence and the linearly dependent of two vector groups by using its discriminating theorem 1, 2 are presented.

18. 结果表明：利用故障信号的特征向量与故障特征表，通过相似性原理进行故障诊断是有效的。

The actual diagnosis result shows that the fault diagnosis is effective by using the fault signal feature vector and fault table and similarity theory.

19. 支持向量回归机是一种解决回归问题的重要方法，其预测速度与支持向量的稀疏性成正比。

Support Vector regression is an important kind of method for regression problems. The predicting speed of Support Vector regression is proportional to its sparseness.

20. 为避免在进行核融合时，支持向量机稀疏性的缺失，提出将数据映射到稀疏特征空间进行研究。

In research, sample data were mapped to sparse feature space to prevent the loss of SVM"s sparsity when the kernels were fused.

21. 并给出了相应的程序转换算法，通过数据相关性的分析，在应用程序向量化时，生成采用向量寄存器部分重用的优化代码。

According to the dependence analysis, we present a transformation strategy that generates vector codes exploiting the partial reuse of vector registers during the vectorization of applications.

22. 为更好的解决这一问题，论文提出一种基于预测性运动向量的菱形搜索方法，有效的提高了视频压缩的性能。

For resolving the problem better, this paper presents an improved diamond search algorithm based on motion vector prediction, and it can efficiently improve the performance of video compression.

23. 运用通有的方法，研究了在锥变化和挠动的意义下向量优化问题解的上半连续性。

The purpose of this paper is to study the upper semi-continuity on their solutions of optimisation problems on the cone.

24. 为了给出图像类推算法的适用范围，提出了一种新的基于分形维数向量的图像的相似性度度量算子。

To give applicable range of image analogies algorithm, based on the fractal dimension vector, a new operator used to measure the image similarity is proposed.

25. 在拓扑序空间的框架下，利用一个序KKM型定理证明了一些广义向量值均衡问题解的存在性定理。

Using an O-KKM type theorem, some existence theorems of solutions for abstract generalized vector equilibrium problems in the framework of topological ordered spaces is proved.

26. 它拥有众多的优良特性，如利用核技术避免了解的局部最小、具有解的稀疏性、通过界限的作用达到容量控制或支持向量数目的控制等等。

It has many advantages, such as using kernel function to avoid local minimal point, sparse nature of solutions, limit used to control capacity or the number of support vectors, etc.

27. 考虑到电梯交通流本身所存在的非线性、复杂性和随机性，提出了一种基于小波支持向量机的电梯交通流预测模型。

Considering the nonlinearity, complexity and randomicity of elevator traffic flow, the prediction model of elevator traffic flow based on wavelet support vector machines was proposed.

28. 考虑到电梯交通流本身所存在的非线性、复杂性和随机性，提出了一种基于小波支持向量机的电梯交通流预测模型。

Considering the nonlinearity, complexity and randomicity of elevator traffic flow, the prediction model of elevator traffic flow based on wavelet support vector machines was proposed.