向量的

The main research work in this paper is as follows:(1) A detailed analysis about the theory of the SVM is given in the paper. And one framework of the Network Fault Diagnosis System based on SVM in network Application Layer is proposed. The handle process and the function, mechanism of the components of this framework are discussed in the paper.(2) When the size of the training sets is uneven, the classification error rate of the results based on the traditional C-Support vector machine is undesirably biased with the less sample in the training sets.

由于故障诊断是有限样本学习问题在实际中的体现，因此可以将支持向量机方法引入到网络应用层的故障诊断中来，本文涉及的内容主要包括：(1)详细深入的分析了支持向量机的理论特点及其与网络应用层故障诊断的关联，并就构建的基于支持向量机的网络应用层故障诊断模型，阐述了该模型的处理流程以及其中各个模块的功能、机制。

Through detailed analyzing some influencing factiors of sand liquefaction, seven parameters were selected as assessment indexes. They are earthquake magnitude, peak ground surface acceleration, standard penetration value, specific penetration resistance, relative compaction, average particle diameter, and water table. The extension assessment model has been established that was applied to assessment of sand liquefaction potential. The model had been trained by the historical data and has been assessed in virtue of sand liquefaction from the historical data by simulating, and got a excellent result. After introduction of the support vector machine theory, this paper established the assessment model of sand liquefaction based on the support vector machine, and assessed in sand liquefaction from virtue data of some fields in home and overseas with the tool Libsvm, which was programmed based on the support vector machine theory. And got a good coherency between the assessement results and the actual liquefaction.

在详细分析影响砂土液化因素的基础上，选取了震级M、地面最大加速度g_、标准贯入击数N_(63.5)、比贯入阻力P_s、相对密实度D_r、平均粒径D_(50)、地下水位d_w等7个参数作为评价指标，建立了砂土液化势的可拓评价模型，并对历史数据进行仿真评价，取得了较好的应用效果；在对支持向量机的理论进行介绍后，本文建立了基于支持向量机的砂土液化势评价模型，并利用在基于支持向量机理论的Libsvm软件，对若干国内外场地的现场实测数据进行了评价，评价结果与现场表现基本上一致。

It has become one of the important tasks in the study on modern electric system. At first, this text has briefly introduced meanings, the current development and the main methods which the electric load forecasting are used. This paper aimed at the floatability which the load data had and the nature that neural networks model is easy to fall into part infinitesimal value and low iterative speed, this paper proposed a method based on neural networks and SVM. SVM can dispel the less summation and the larger single point errors of neural networks, and the neural networks could dispel the simplification of the model of the vector support machine.

本文首先介绍了电力系统负荷预测的意义、发展现状和主要方法；针对负荷数据具有浮动的特点以及神经网络模型算法容易陷入局部极小和迭代速度较慢的缺点，提出了一种基于神经网络和支持向量机的混合负荷预测方法，此方法能通过支持向量机消除神经网络的总和较小但单点误差较大的不利现象，而神经网络消除了支持向量机的模型简单问题。

Improve the accuracy of the initial rotor position estimator by using the Fourier series expansion.

在永磁同步的马达启动方面，则透过送出不同向量空间角度的定子电压向量脉冲所量测到的d轴定子电流的大小来估测转子的初始位置，并利用d轴定子电流在空间向量角度以2π为周期的特性，应用傅立叶级数分析做曲线拟合的方式提高转子位置估测解析度，以提高转矩/电流比节省不必要的功率浪费。

Because of the nonuniqueness in the positional solution, it's not easy to test the performance of the coordinated control system. So the model of NN was built to convert the vector of the length of 6 jars into the vector of the position of the motion deck. It's fast and accurate for the lengthwise direction. The state space system model of the six degree freedom motion simulator was built by the equations of electrodraulic servo mechanism and the multi-body dynamics equation of the six degree freedom motion simulator,the vector of the length of 6 jars was the control variable.

本文结合六自由度运动模拟器的多体动力学方程和电液伺服驱动机构的特性，经简化得出了具有实际意义的六自由度运动模拟器整体系统的状态空间方程式，通过分析该系统的稳定条件和能控性，采用状态反馈对系统的状态方程式进行合理配置，从而建立了以运动模拟器杆长向量为控制变量的运动模拟器整体控制系统，并将该控制系统输出的杆长向量转换为位置向量。

In this paper,a new algorithm is given by means of the complexification of the knots,i.e. the node in the plane is considered as a complex point,the vector as a complex vector,and then based on the construction of vector valued Thiele type rational interpolants and the backward three term recurrence relation for vector valued continued fractions,the recursive algorithm is obtained by appropriate transformation.

文章利用插值型值点复数化的方法讨论并给出了二元向量值有理插值的一种新算法，即把平面上的插值结点视为一个复数，所对应的向量视为一个复向量，使用一元Thiele型向量值有理插值公式的构造方法和向量连分式的向后三项递推关系式以及适当的变换，最后导出了这种递推算法。

In this paper,the Riemann boundary value problem for bianalytic vector function s is investigated using the theory of boundary value problem for analytic functions,we have not only found the solution method for bianalytic vector function s,but also established an explicit form of the general solution and the conditions for the solvability of the above problem.

利用解析向量函数边值问题理论，提出了双解析向量函数的R iem ann边值问题，并研究了问题的解法和解的一般表达式及可解性条件，得到了相应的可解性定理，同样方法可解决多解析向量函数的边值问题

Is a collection of some of the attributes of all things; vector is also value addition to the amount of direction at the same time; vector space, also known as linear space, is composed of many components of the vector and in line with the specific rules of operation of the collection.

集合是具有某种属性的事物的全体；向量是除了具有数值还同时具有方向的量；向量空间也叫线性空间，是由许多向量组成的并且符合某些特定运算的规则的集合。

This method uses what Professor Salton has proposed as the vector spacial model to express text as an invisible vector in hyperspherical space.It makes use of certain pre-disposal methods (reduce the dimensions,clustering thesaurus,filtering out old-fashioned words) to reduce the dimensions.It usescosines to measure the degree of similaritybetween texts and uses the total similarity as the target convergence vector.It produces clustered results by using restricted iteratives to achieve partial perfection.

该算法用Salton教授提出的向量空间模型把文本表示成不可视的超球向量空间的一个向量，采用一定的预处理手段(降维、同义词归并、停用词过滤)完成维数约减，使用余弦相似度度量文本之间的相似度，并选择总凝聚度作为目标收敛函数，通过有限次的迭代达到局部最优，输出聚类结果。

The main purpose of this paper is to propose a unsupervised clustering-based method to pre-extract the support vector for training the SVM in light of the theory that the classification facet of SVM is determined by support vector only. By analyzing the limitation existed in current multi-class classification methods, and taking into account comprehensively the separability of the class set of nodes, a hierarchical classification method of SVM binary tree based on tree classifier with optimized overall performance is designed.

针对SVM的分类面仅由支持向量决定的理论，提出一种基于无监督聚类方法来预抽取支持向量，训练向量机；并分析现有多类分类方法所存在的弊端，基于综合考虑节点的类集合可分性，设计一种基于树分类器整体性能最优的SVM二叉树层次分类方法。

Breath, muscle contraction of the buttocks; arch body, as far as possible to hold his head, right leg straight towards the ceiling (peg-leg knee in order to avoid muscle tension).

呼气，收缩臀部肌肉；拱起身体，尽量抬起头来，右腿伸直朝向天花板（膝微屈，以避免肌肉紧张）。

The cost of moving grain food products was unchanged from May, but year over year are up 8%.

粮食产品的运输费用与5月份相比没有变化，但却比去年同期高8％。