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马尔科夫链的英文

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"马尔科夫链"怎么读用"马尔科夫链"造句

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  • markov chain

例句与用法

  • Application of morkov chain to market forecasting
    马尔科夫链在市场预测中的作用
  • This developed the predictable method of markov chain and widened the practice range
    发展了马尔科夫链预测方法,拓宽了其应用范围。
  • It deduced the initial probability on the fuzzy markov chain and the common computational formula of single layer shift probability
    并给出了模糊马尔科夫链的初始概率和一重转移概率的计算方法的一般公式。
  • Primary experiments confirm that both methods are feasible , and the latter one would be better due to taking account of the sequential relation of system calls in process
    两种方法中,由于马尔科夫链方法考虑了系统调用序列的顺序关系,因此效果更好。
  • Abstract : by using the convergence theorem of martingale difference sequence , a class of strong limit theorem for the functional countable homgenous markov chain is obtained
    文摘:利用鞅差序列的收敛定理,给出了一类关于可列齐次马尔科夫链泛函的强极限定理。
  • Combining the engineering characteristic and the theory of markov chain , this paper inferred the forecast model of fuzzy markov chain , which had the fuzzy division of conditions and characteristics of no following effects in the main
    摘要针对工程问题的特点结合马尔科夫链理论,提出了具备状态模糊划分和具有“大体无后效性”特点的模糊马尔科夫链状的预测模型。
  • Markov chain monte carlo simulation ( mcmc ) was taken to sample the posterior distribution to get the marginal posterior probability function of the parameters , and the statistical quantities such as the mathematic expectation were calculated
    通过马尔科夫链蒙特卡罗模拟对后验分布进行了采样,获得了参数的后验边缘概率密度,并在此基础上获得了参数的数学期望等统计量。
  • Since a sequence of system calls gives a stable signature for a linux process , behavior of the processes can be explored by analyzing the system call sequences . so , in this thesis , two methods are investigated for detection of abnormal process behavior under linux using system call sequences
    由于linux进程可由一系列的系统调用序列来表征,通过分析其系统调用序列可以了解进程的行为模式,据此本文分别探讨了对linux进程的系统调用序列进行模式提取和异常检测的两种方法:神经网络方法和马尔科夫链方法。
  • This paper is based on rs and gis , analyses the characteristics of luc of three periods in daqing city , discusses the traits of lucc of different periods , and discusses the driving forces from two aspects - nature factor and social factor , and forecasts the future land use pattern , points out the focus of land use continuable development . this research includes three significant problems , they are : the gaining of the lucc data in daqing area , the translation of land use pattern and its driving forces research , forecasts of the future land use pattern research . . in the process of the study , we obtain the data that we need through manpower estimation and interpretation based on gis , then put the results into software envi , reclassify land use types using masking technology and decision tree
    本次论文以黑龙江省大庆市为研究对象,基于遥感和gis平台,提取了1979年、 1990年、 2001年区域土地利用/土地覆盖数据,分析了研究区三个时期的土地利用/土地覆盖特征,利用单一土地利用动态度、综合土地利用动态度、土地利用相对变化率等参数模型从土地资源数量、土地利用程度及土地利用区域差异等方面,探讨了不同时期区域土地利用/覆盖演化的特点,并从自然因素和人文因素两个角度探讨了区域lucc驱动力,最后利用马尔科夫链模型对区域土地利用格局的发展趋势进行了预测研究,提出了区域土地利用可持续发展的重点,为转型时期的大庆市土地利用决策提供参考。
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