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时序数据 meaning in English

data, timing
time series data

Examples

  1. Relevant dimension and the number of substantial state variables which are main factors influencing foundation - pit deformation , are calculated with measured time - sequence data of the settlement , the displacement of several foundation - pits , the number of substantial state variables is far less than that of the factors influencing foundation - pit deformation , the work of nonlinear numerical analyses is greatly reduced , it is of important theoretical and practical significance in guiding design and construction of deformation control
    通过多个基坑实测沉降、位移、隆起量时序数据的关联维数和实质性状态变量个数即基坑变形主要影响因素个数计算,结果其个数大为减少,极大地减少了数值分析的工作量,对指导变形控制设计和施工具有重要的理论和实践意义。
  2. In order to grasp the urban system processes and evolution pattern of hunan province comprehensively , this article has made further discussion on its structure characteristic : through regression analysis , graph analysis and statistics analysis of the time series data and cross sections data , by combining with the fractal theory , we induce the following conclusion : the hierarchical size structure presents the law of the primate city , the rank - size rule and pyramid structure characteristic , but it also has the insufficient development problem of the high hierarchical size city . by using the gravitation model , we found out that the economy relation intensity among those main cities is weak while the structure is loose . based on the urban layer system of economic development level and industrial structure evolution of the cities in hunan province , this article then induces the function combination among the five urban agglomerations in hunan province
    为全面把握湖南城市体系的运演规律,本文对其结构特征作了进一步的探讨:通过时序数据和截面数据的回归分析、图表分析和统计分析,结合分形理论,得出了其等级规模结构分布呈现出首位分布、位序?规模分布和金字塔结构特征,以及存在着高层次城市发展不足的问题;运用场引力模型发现该省主要城市间的经济联系强度较弱、结构松散,在归纳出该省城市经济发展水平的层次体系、产业结构演变的基础上,导出了该省城市体系的五大城市群职能组合;结合空间结构体系、路网交通条件和经济发展状况,对该省城市空间分布状态进行了定性分析,研究表明该省总体上处于极化阶段,各个具体区域,分布阶段不一,差异较大。
  3. ( 2 ) the ratio of share owned by country is so high that it makes it impossible to build rational and scientific corporate government . secondly , author observes the relation of shares structure and achievement by using data of 56 listed company as sample book and modeling according to time order ; at the same time , author reveals that irrational shares structure has the influence on normal management of firms in chinese share market
    其次,笔者从如下两方面论证“中国上市公司股权结构不合理”的问题: ( 1 )以沪、深两市56家上市公司为样本,建立时序数据模型,通过分析股权集中度、股权结构对净资产收益率的影响,验证了上市公司股权结构与公司业绩的相关关系; ( 2 )通过分析上市公司存在的6种违法行为,来揭示股权结构不合理对上市公司规范运作的影响。
  4. Time series is a kind of important data existing in a lot of fields , such as stock , weather , etc . with time moving , this data of time series will explode increasing . so it is important and challenging subject to research how discovery valuable knowledge in large - scale time series database , and how to search based similarity while user give a graphic query pattern
    因此,对这些海量的时序数据如何进行有效的知识发现,挖掘其内在的各种变化模式;对于用户给定具有各种抽象含义的变化模式,如何在海量时间序列库中进行相似性的检索等应用分析,是一个挑战性的、具有重要意义的理论和实际应用课题,对于我们正确认识事物变化,科学进行决策,识别各种异常行为等具有重要的指导意义。
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Related Words

  1. 时序效应
  2. 时序控制器
  3. 时序校验
  4. 时序脉冲
  5. 时序因素
  6. 生物时序
  7. 时序女神
  8. 极盛时序
  9. 时序放大
  10. 时序收缩
  11. 时序收缩
  12. 时序受控自动发信装置
  13. 时序图
  14. 时序推理系统
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