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theory of random processes中文什么意思

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  1. random fields on tree axe applications on trees of theory of random process-a new math model, which develeped from coding and encoding problem in information theory
    树上的随机场是随机过程理论在树-这一最新的数学模型上的应用,它产生于信息理论的编码和译码问题
  2. this article brings forward a new prognostic model, which is based on n _ rank transfer probability coming from the theory of random process and restricted by minimum confidence and adjustment matrix . using this model, ultimately prognostic result can be found
    本文将介绍一种新的预测模型,它以随机过程理论中n阶转移概率的概念为基础,并结合最小置信度及调整矩阵对模型进行约束,最终得到预测结果。
  3. a new type of viscoelastic stochastic finite element method is established using first-order perturbation theory based on local averaging method of random field and karhunen-loeve expansion theory of random process . the amount of computations is greatly reduced by transforming correlated random variables to a set of uncorrelated random variables . the relations of different random response variables are analyzed and monte carlo simulations for viscoelastic stochastic structures are investigated
    基于随机场的局部平均法以及随机过程的karhunen-loeve分解理论,通过一阶随机摄动方法建立了考虑材料近似不可压缩的粘弹性随机有限元公式,由相关结构分解减少计算量,分析了各结构随机响应量之间的关系,给出了数字特征的计算方法,研究了粘弹性随机结构的montecarlo模拟验证方法。
  4. supposed that the fluid in all the fields will accomplish a transport in down-flow distance a z, the flow in trickle-bed is a m step markov process, where m = z / z ( z-the height of trickle-bed ) . according to the theory of random process, the statistic of the markov process will be calculated out from the original distribution and state-transport matrix
    假定液体从床层上端面向下流过z距离后,处于各区的流体就实现了一步转移,则可将床内液体的流动视为从一个初始分布开始,经过m步(m=zz,z为床层高度)转移的状态离散、滴流床流率分布的模拟与整流时间离散的markov过程。
  5. second, i transform seismic-electrical data and volcano data worldwide from 1991 to 1999 to appropriate statistic models and analyze them by using the theories of random process and correlation . the results of the study testify that it is correlative between the seismic-electrical abnormal rectangle pulsation signals and volcano eruptions . so the study is a useful exploration for which whether we can monitor and observe worldwide volcanic activity in the whole
    接下来应用随机过程与相关理论的知识,以1991年1月1日至1999年12月31日为统计时间段,以北京工业大学地震研究所南北方向地电脉冲仪所记录到的地电异常矩形脉冲信号和全球范围内的火山喷发事件为研究对象;抽取适合分析、又具物理意义的多个统计模型;并对信号模型与喷发模型间进行了详尽的相关性分析。

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