向量

Based on the linear MIMO model of Volterra system for blind identification, the blind identification method of Volterra system based on the basis of the noise polynomial vector space is presented.

基于 Volterra 系统盲辨识的线性 MIMO 模型，提出了基于噪声多项式向量空间基的 Volterra 系统的盲辨识方法。

The new method of the singular value decomposition is used to calculate the eigenvalue of embedding space matrix , and the corresponding algorithm to calculate eigenvectors and to obtain the basis of embedding vector space is put up in this paper.

应用本征值分解技术对动力系统实测数据嵌入空间矩阵的本征值进行了计算，提出了具体计算嵌入空间矩阵本征值及其本征向量的改进计算方法，以及嵌入空间矩阵基的改进选取方法。

The common SVD algorithm was briefly discussed and analyzed on the basis of vector space,and a new iterative scheme was proposed to achieve the nonnegative constraint.Based on this scheme,the SVD inversion algorithm was improved.

摘要介绍了核磁共振T2谱传统奇异值分解反演算法，从向量空间的角度对算法进行了分析，提出了一种新的实现非负约束的迭代方案，并根据这个方案改进了传统的SVD反演算法。

On the basis of constructing normalization vector space with single d irection, defined and induced six TOPSIS functions, proved that these six functi ons are valuation functions.

在构建单向规范化向量空间的基础上，定义并归纳了6种TOP SIS函数，证明了这6种函数都是价值函数。

With sensitivity analysis for the change of the basis vector , we present a new approach.

采用一定技巧和简捷的方法，对基向量变化的灵敏度作了分析，从根本上改进了文献［1］的作法

This paper presents an intelligence prediction technique -- an issue of classification and regression on the basis of support vector machine.

本文主要研究机器学习中智能性预测技术——基于支持向量机的分类和回归问题。

In this dissertation, an investigation on the theoretical basis of support vector machine and its application in the fault diagnosis is carried out.

研究发现，统计学习理论中确认的支持向量机可以自动地确定径向基核函数参数这一规律，在旋转机械故障诊断领域中某些条件下并不适用。

Aimed at the strong non-linearity and time-varying properties in a pH neutralization process, its identification model was proposed on the basis of support vector machine.

针对pH中和过程具有强非线性、时变性的特点，提出一种基于支持向量机的pH中和过程模型辨识方法。

Support vector machines can achieve good performance when applied to small samples pattern recognition problems. The basis support vector machine is designed for two-class problem.

支持向量机方法是专门针对小样本情况的，其目标是得到现有信息下的最优解而不仅仅是样本数趋于无穷大时的最优值。

Four new relative efficiencies of the best linear unbiased estimator to the covariance improvement estimator for the unknown parameter vector are given, and three new relative efficiencies of the least square estimator to the covariance improvement estimator for the unknow parameter vector are given.

本文考虑相依模型，对其未知参数向量给出了其最佳线性无偏估计相对于协方差改进估计的四种相对效率，同时，还给出了最小二乘估计相对于协方差改进估计的三种相对效率，在不同条件下，分别给出了相对效率的上界与下界。

The labia have now been sutured together almost completely.The drains and the Foley catheter come out at the top.

此刻阴唇已经几乎完全的缝在一起了，排除多余淤血体液的管子和Foley导管从顶端冒出来。

To get the business done, I suggest we split the difference in price.

为了做成这笔生意，我建议我们在价格上大家各让一半。