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theory of random processes中文是什么意思

  • 隨機(jī)過(guò)程理論

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  • 例句與用法
  • 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
    樹(shù)上的隨機(jī)場(chǎng)是隨機(jī)過(guò)程理論在樹(shù)-這一最新的數(shù)學(xué)模型上的應(yīng)用,它產(chǎn)生于信息理論的編碼和譯碼問(wèn)題
  • 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
    本文將介紹一種新的預(yù)測(cè)模型,它以隨機(jī)過(guò)程理論中n階轉(zhuǎn)移概率的概念為基礎(chǔ),并結(jié)合最小置信度及調(diào)整矩陣對(duì)模型進(jìn)行約束,最終得到預(yù)測(cè)結(jié)果。
  • 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
    基于隨機(jī)場(chǎng)的局部平均法以及隨機(jī)過(guò)程的karhunen-loeve分解理論,通過(guò)一階隨機(jī)攝動(dòng)方法建立了考慮材料近似不可壓縮的粘彈性隨機(jī)有限元公式,由相關(guān)結(jié)構(gòu)分解減少計(jì)算量,分析了各結(jié)構(gòu)隨機(jī)響應(yīng)量之間的關(guān)系,給出了數(shù)字特征的計(jì)算方法,研究了粘彈性隨機(jī)結(jié)構(gòu)的montecarlo模擬驗(yàn)證方法。
  • 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
    假定液體從床層上端面向下流過(guò)z距離后,處于各區(qū)的流體就實(shí)現(xiàn)了一步轉(zhuǎn)移,則可將床內(nèi)液體的流動(dòng)視為從一個(gè)初始分布開(kāi)始,經(jīng)過(guò)m步(m=zz,z為床層高度)轉(zhuǎn)移的狀態(tài)離散、滴流床流率分布的模擬與整流時(shí)間離散的markov過(guò)程。
  • 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
    接下來(lái)應(yīng)用隨機(jī)過(guò)程與相關(guān)理論的知識(shí),以1991年1月1日至1999年12月31日為統(tǒng)計(jì)時(shí)間段,以北京工業(yè)大學(xué)地震研究所南北方向地電脈沖儀所記錄到的地電異常矩形脈沖信號(hào)和全球范圍內(nèi)的火山噴發(fā)事件為研究對(duì)象;抽取適合分析、又具物理意義的多個(gè)統(tǒng)計(jì)模型;并對(duì)信號(hào)模型與噴發(fā)模型間進(jìn)行了詳盡的相關(guān)性分析。
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