It exists a relatively stable relationship between the fluctuations of the stock price and macroeconomic variables , and it is the embodiment of the macroeconomic efficiency of the stock market 本文利用自回归分布滞后模型和向量自回归模型分别对我国股票价格和通货膨胀的关系进行了实证分析,并关注了货币政策在其中的作用。
This paper presents the yh ts - 1 instruction architecture , which based on the vector expansion of arm v4 instruction architecture . it supports vector processing and scalar processing in the same instruction set 本文提出了基于armv4指令集体系结构扩展的银河ts - 1指令集体系结构，在同一个指令集内同时支持标量机制和向量机制。
The scalar lyapunov function approach and vector lyapunov function approach of stability for large - scale systems are analyzed . and it is pointed out that the restriction of these approaches are only suited for large - scale systems with week coupling among subsystems 对大系统稳定性的标量lyapunov函数法和向量lyapunov函数法作了分析，指出这些方法只适用于子系统间具有弱耦合的大系统的局限性。
Secondly , in order to find the solution to how to derive key words / entries from documents , this paper puts forward a matrix - weighted mining association rule algorithm based on the weighted mining algorithm and the weighted value of vector space model , vsm 针对自动从文档中导出关键词词条之间的关联性问题，本文在深入研究加权挖掘算法和向量空间模型中权值特点的基础上，提出一种矩阵加权关联规则挖掘算法。
Third , the dissertation specifies the spatial join query processing based on service oriented architecture . two strategies are proposed . the first one , called the ssji strategy , can efficiently reduce the overall costs by precomputing and materializing the spatial semi join results 最后,论文研究了空间数据服务发现问题,基于信息检索理论,提出了基于集合模型和向量模型的服务发现方法,提高了服务发现的查全率和查准率。
It ' s abilities to matrix caculation stand out . using matlab to analyse and process signal can fulfill heavy compute task and greatly improve efficiency . the analysis and process of vibrantion signal is based on the hardware of the data collection system and carried out by softwork Matlab语言以矩阵和向量为基本数据单位，其矩阵计算能力十分突出，用该语言进行信号的分析与处理设计效率高，能实现多种信号分析与处理算法，并完成庞大的计算任务。
Due to these basic problems and also because of the need to include information on specific domain , this paper proposes an efficient strategy of studying user ' s interests , which is based on temporal difference method , a re _ inforcement learning algorithm , and vector representation 由于这些基本问题以及对特定领域的信息学习的需要，本文以强化学习的时间差分法和向量表示为基础，提出了一种高效的学习用户兴趣的策略，并设计了一个学习用户兴趣的用户界面。
Particular libraries discussed are meschach , which provides routines for operating on matrices and vectors for projects coded in c , the cooperware matrix cwmtx for c coding , and blitz , which provides an n - dimensional array class for c with integral , floating , complex , and well - behaved , user - defined types 在这里具体讨论的库有三个： meschach库为c代码编写的项目提供例程，用于矩阵和向量的运算； cooperware matrix （ cwmtx ）库可用于c + +代码编写； blitz库为c + +提供可用整数、浮点数、复数和规范的用户定义的类型的n维数组类。
Based on grasping the connotation of sustainable development , the author constructs the two dimensions model to evaluate the conditions of region sustainable development with fractal theory according to its structure of two dimensions of development level and sustainability . the model corresponds the statistical indexes of region sustainable development systeiri to dots on the coordinate of multi - dimension space and takes the fractal dimensions as the parameters of conditions of region sustainable development according to the spatial distribution characteristics of the dots . the author takes nine provinces ( or regions ) of yellow river drainage area as objects to perform applied study and shows the result by gis and vector , this indicates that the model is feasible 基于此，在把握可持续发展内涵的基础上，从发展水平和可持续性的二维结构出发，利用分形理论构建了区域可持续发展评价的二维模型，把区域可持续发展系统的统计指标和多维空间中的坐标上的点对应起来，考察其空间分布的特点，利用分形维数来表示区域可持续发展的状况，并以黄河流域九省区为例进行了应用评价研究，并用gis技术和向量直观的表现了出来结果表明了它的可行性。
Thirdly , similarity matrix , dissimilarity matrix or similarity table are established based on the n - strong peaks , the overlap rate of common peaks and the cosine / sine of vectors " angle which are derived from the fingerprint chromatograms of samples . and based on these data model , clustering research has been done by k - means algorithm , biggest tree in fuzzy clustering and improved cobweb algorithm , where different results have been gained . by comparing , cobweb algorithm is the best 本次研究利用n强峰、共有峰的重叠率和向量夹角正余弦值对样品色谱指纹图谱分别建立了相似度矩阵、相异性矩阵或相似度表，以这些数据模型为基础，分别用了k -平均、模糊聚类的最大树法和改进的cobweb法进行了聚类研究，得到了不同的效果。
