獨立隨機過程 的英文怎麼說

中文拼音 [dúlìsuíjīguòchéng]
獨立隨機過程 英文
independent random process
  • 獨 : Ⅰ形容詞（一個） single; only; sole Ⅱ副詞1 （獨自） alone; by oneself; in solitude 2 （唯獨） only...
  • 立 : 動1 （站） stand; remain in an erect position 2 （使豎立; 使物件的上端向上） erect; stand; set up...
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 過 : 過Ⅰ動詞[口語] （超越） go beyond the limit; undue; excessiveⅡ名詞（姓氏） a surname
  • 程 : 名詞1 （規章; 法式） rule; regulation 2 （進度; 程序） order; procedure 3 （路途; 一段路） journe...
  • 獨立 : 1. （單獨站立） stand alone 2. （自主自立; 不受人支配） independence 3. （不依靠他人） independent; on one's own
  • 隨機 : random stochasticrandom
  • 過程 : process; procedure; transversion; plication; course
  1. With the development of the network and the multi - processor system, the research, simulation and the impemeni of the system - level fault diagnosis which is the very important means to increase the reliability of the system, are becoming more and more important. on the system - leve1 fault diagnosis, based on the group theory of system - level fault diagnosis that has been put forward by pro f zhang, the paper constructs newly the theory bases, improves on the matrix method, reinforces and consummates group arithmetic of all kinds of test mode, for the first time, analyses and discusses the equation solution of all kinds of models, so al1 the consistent fault patterns ( cfp ) could be found, straightly and high efficiently, even if the sufficient and necessary condition of t - diagnosable is dissatisfied and the complexity of system - level fault diagnosis is greatly decreased, especialy in strong t - diagnosabl6 system. last the simulation system ' s function has been extended and the application hotspot and the development trend have been disscussed

    本人在張大方教授等人提出的基於集團的系統級故障診斷的理論基礎上，重新構建了系統級故障診斷的理論基礎，定義了系統級故障診斷測試模型的三值表示；改進了系統級故障診斷的矩陣方法，重新定義了測試矩陣、鄰接矩陣、結點對、結點對的相連運算、極大準集團和斜加矩陣，由此能直觀、簡便地生成集團和極大獨立點集；補充和完善了各類測試模型的系統級故障診斷的集團演算法，通過定義集團測試邊和絕對故障集，簡化了集團診斷圖，由此能較易地找到所有的相容故障模式，即使不滿足t -可診斷性，大大減少了系統級故障診斷的復雜度，尤其是對強t -可診斷系統；首次分析探討了各類測試模型的方程解決，由此從另一角度能系統地、高效率地求出所有的相容故障模式（ cfp ） ：擴充了系統級故障診斷模擬系統的功能，快速、直觀和隨機地模擬實驗運行環境，進行清晰和正確的診斷，同時提供大量的實驗數據用於理論研究，優化演算法和設計。
  2. Taking the characteristics of road and bridge engineering into account, this paper makes systematic analysis and study on applications of static gps in data processing of surveying in road and bridge engineering : the feasibility of using single point positioning result as starting point is studied and the influence of it on baseline solution is discussed ; on account that the software provided along with instrument by vendors usually does not support coordinates in the independent engineering coordinates system from gps observations, a simple and effective method is represented for the gps data processing in the independent engineering coordinates system and is programmed. through real examples the method and programs are testified ; from gps surveying the wgs - 84 coordinates are acquired, while in reality coordinates in local coordinate system are needed, so conversion from wgs - 84 coordinates to local coordinates is necessary

    結合路橋工程的特點，對靜態gps在路橋工程式控制制測量中的數據處理作了系統的分析和研究： ?對單點定位結果作為起算點的可行性進行了研究，並探討其對基線解算的影響； ?鑒于商家提供的隨機軟體往往不支持利用gps觀測得到工程獨立坐標系中坐標，為工程獨立坐標系gps數據處理提供了一種簡便有效的方法，並編制了相關的處理程序，通過實例驗證，程序是正確的、方法是可行的； ? gps測量得到的是wgs - 84坐標，而實用上需要的是地方坐標系坐標，因而得把wgs - 84坐標轉換地方坐標系坐標。
  3. It is just like what embrechts, kl ppelberg and mikosch ( 1997 ) [ 6 ] pointed out : " random sums are the bread and butter of insurance mathematics ". and what have intimate relation with random sums are renewal counting processes and other counting processes. in the current theory of insurance and finance, the random variables generating counting processes are often supposed independent identically distributed, this hypothesis is reasonable in many situations and we have obtained rather satisfactory " results about it

    ） ppelbergandmikosch （ 1997 ） [ 6 ]指出： 「隨機和就像是保險數學中的麵包和黃油」 ，而與隨機和密切相關的是更新計數過程和其他計數過程，在現行保險金融理論中，人們往往假設構成計數過程的隨機變量獨立同分佈，這一假設在許多場合下是合理的，並且取得了頗為圓滿的結果。
  4. With the produce and development of expert system, a new approach is presented for researcher in oil monitoring to put to the issue. with the maturity distributed technique and the multiple base synergism of database, knowledge base and method base, computer applications go forward from resolving problems respectively in a close system to cooperating synchronously or asynchronously with each other for customers to find a solution to all kinds of complex problems. therefore, computer resources, which include hardware, software, database, knowledge base, normal programs and intelligent programs, will be shared to large extent

    隨著分散式技術更加成熟，應用更加廣泛；分散式知識庫、分散式人工智慧的理論與技術的發展，多專家、多知識表示、多種推理決策機制、多知識庫協同聯合求解以及數據庫、知識庫、方法庫的多庫協同支持，使計算機應用已由傳統的在封閉系統下用戶各自獨立解決問題、通過問題求解、執行一定的計算，朝著幫助用戶進行交互支持（同步、異步）協同工作、共同解決各種復雜問題並為用戶提供一個最大限度共享計算機資源（硬體、軟體、數據庫、知識庫、一般程序或智能程序）的環境的方向發展。
  5. We use a common independent increment random process to set the assumption of interest randomness

    而對于利息隨機性的假定，我們採用了較為一般的獨立增量隨機過程。
  6. But in more situations the random variables generating counting processes may not independent identically distributed, and in all kinds of dependent relations, negative association ( na ) and positive association ( pa ) are commonly seen. the research and apply in this aspect are rather valuable. in chap 2 we prove wald inequalities and fundamental renewal theorems of renewal counting processes generated by na sequences and pa sequences ; in chap 3 we are enlightened by cheng and wang [ 8 ], extend some results in gut and steinebach [ 7 ], obtain the precise asymptotics for renewal counting processes and depict the convergence rate and limit value of renewal counting processes precisely ; at last, in the study of na sequences, su, zhao and wang ( 1996 ) [ 9 ], lin ( 1997 ) [ 10 ] have proved the weak convergence for partial sums of stong stationary na sequences. however product sums are the generalization of partial sums and also the special condition of more general u - statistic

    但在更多的場合中，構成計數過程的隨機變量未必相互獨立，而在各種相依關系中，負相協（ na ）和正相協（ pa ）是頗為常見的關系，這方面的研究和應用也是頗有價值的，本文的第二章證明了na列和pa列構成的更新計數過程的wald不等式和基本更新定理的一些初步結果；本文的第三章則是受到cheng和wang [ 8 ]的啟發，推廣了gut和steinebach [ 7 ] ）中的一些結論，從而得到了更新計數過程在一般吸引場下的精緻漸近性，對更新計數過程的收斂速度及極限狀態進行精緻的刻畫；最後，在有關na列的研究中，蘇淳，趙林成和王岳寶（ 1996 ） 》 [ 9 ] ，林正炎（ 1997 ） [ 10 ]已經證明了強平穩na列的部分和過程的弱收斂性，而乘積和是部分和的一般化，也是更一般的u統計量的特況，它與部分和有許多密切的聯系又有一些實質性的區別，因此，本文的第四章就將討論強平穩na列的乘積和過程的弱收斂性，因為計數過程也是一種部分和，也可以構成乘積和，這個結果為研究計數過程的弱收斂性作了一些準備。
  7. 2 ) by analyzing the information and conditional information description mechanism of system states, the problem of stochastic model reduction is investigated based on state aggregation. the information loss and conditional information loss between the full - and reduced - order models are measured by entropy, while the independence and conditional independence within me components of aggregated state are measured by kullback - leibler information distance. several model reduction methods for stable and unstable linear systems are derived by employing two criteria to get aggregation matrices : the minimal information loss and the maximal independence

    2 ）分析了隨機系統狀態空間模型中的信息和條件信息描述機制，以shannon熵為手段描述線性系統模型降階過程中的信息和條件信息損失，以kullback - leibler信息作為衡量降階模型狀態向量各分量之間統計獨立性的測度，針對穩定和不穩定系統研究基於狀態集聚的模型降階問題：分別運用最小信息損失準則和最大獨立性原則，得出幾種狀態集聚的信息論方法，並討論降階模型的性質、階次的確定、系統噪聲分佈特性等問題。
  8. Empirical analysis shows that changes in exchange rates do not follow normal distribution but fractal distribution ; fractal r / s analysis indicates that changes in exchange rates are not a random - walking process, but a biased random process, that exchange prices are not independent of each other, but continuous in state, and that changes in exchange prices are cyclical

    實證分析表明，外匯匯率變化不服從正態分佈，而是服從分形分佈；運用r / s方法對匯率變化進行分形分析后得出，外匯匯率變化不是一個隨機遊走的過程，而是一個有偏的隨機過程，匯率價格之間不是相互獨立的，而是具有狀態持續性的，匯率價格的變動具有周期性。
  9. It is an extension of " the law of iterated logarithm of kolmogorov ". in the course of proving, we extend two lemmas and use the relating results of partial sum increment of independent r. v

    本文主要討論獨立隨機變量某種加權和重對數律，它是「 kolmogorov重對數律」的推廣。在證明過程中，首先推廣了兩個引理，並用到了部分和增量的有關結果。
  10. By using the ar ( 1 ) process to describe the consumption stream in china, this paper re - estimates the welfare cost of business cycles and reduced growth. the main findings of this paper is the positive correlation between the welfare cost of business cycle and the ar ( 1 ) coefficient and the lower estimated costs compared to the case of i. i. d. disturbance

    使用一階自回歸隨機過程來描述中國的消費波動，並重新估算經濟波動福利成本和經濟增長福利成本，研究結果表明，經濟波動的福利成本和消費波動的可預測性是正相關的，並且在一階自回歸假設條件下計算出的福利成本略低於獨立同分佈情形。
  11. We compared the syntactic rule distribution of the subset with the distribution of the whole set to see whether they were similar, and made a baseline of the distribution similarity between subset selected randomly and the whole set. the result showed us that the distribution similarity between the subset and the whole set was great

    為了檢驗獨立於模型的樣本選擇方法是否有效，本文利用kl - distance計算了通過該方法選擇出的子集同原句子集在句法規則上的相似程度，並用隨機選擇的句子集作對比，發現通過該方法選擇出的子集的句法規則分佈同原句子集的句法規則分佈很相似。
  12. In continuous - lime framework, assuming that asset price follows stochastic diffusion process, it introduces parametric uncertainty, and applies stochastic dynamic programming to derive the closed - form solution of optimal portfolio choice, which maximizes the expected power utility of investor ' s terminal wealth ; in discrete - time framework, continuous compounding monthly returns of risky asset are assumed to be normal i. 1. d., it applies the rule of bayesian learning to do empirical study about two different sample of shanghai exchange composite index

    在連續時間下假設資產的價格服從隨機擴散過程，引入參數不確定性，利用隨機動態規劃方法推導出風險資產最優配置的封閉解，使投資者的終期財富期望冪效用最大；在離散時間下假設風險資產的連續復合月收益率服從獨立同分佈的正態分佈，通過貝葉斯學習準則，以上證綜合指數不同區間段的兩個樣本做實證研究。
  13. It is proposed to capture multivariate dynamic behavior of process and quality measurements, both in time and batch - to - batch senses, from identified stochastic state - space model of the cooking process

    建模過程不是獨立的考慮單個批次，而是從連續批次這個整體上考慮辨識一個批間相關的隨機狀態空間模型，利用模型對蒸煮批次整體的運行情況進行質量控制和監控。
  14. The instantaneous probability density function of the virtual stochastic process is evaluated, and then the probability density function of the basic random variable is obtained by employing the independent random samples

    利用獨立隨機抽樣的樣本值，即可獲取虛擬隨機過程的瞬時概率密度函數，進而獲得隨機變量的概率密度函數估計。
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