隨機收斂 的英文怎麼說

中文拼音 [suíjīshōuliǎn]
隨機收斂 英文
stochastic convergence
  • 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
  • 收 : Ⅰ動詞1 （把攤開的或分散的事物聚集、合攏） put away; take in 2 （收取） collect 3 （收割） harvest...
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 隨機 : random stochasticrandom
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  1. In this paper, we study the convergences of random dirichlet series by the local convergence of random variable and the strong law of large numbers, and obtain some simple and explict formulae on abscissa of convergence

    該文是利用隨機變量序列的局部收斂性及強大數定律研究了隨機狄里克萊級數的收斂性，得出了它的收斂橫坐標的簡潔公式
  2. Abstract : in this paper, we study the convergences of random dirichlet series by the local convergence of random variable and the strong law of large numbers, and obtain some simple and explict formulae on abscissa of convergence

    文摘:該文是利用隨機變量序列的局部收斂性及強大數定律研究了隨機狄里克萊級數的收斂性，得出了它的收斂橫坐標的簡潔公式
  3. A note on moment convergences for b - valued martingale random variables

    值同分佈鞅隨機變元序列矩收斂的注記
  4. Four convergence relations of random variable sequence

    隨機變量序列四種收斂性關系
  5. Convergence properties of complex independent random variables

    復值獨立隨機變量序列的收斂性
  6. The present paper firstly represents the model about random walks in time - random environments on the right line, then the studies about recurrence - transience criteria and limit theorem by using some relative theories of markov chains, and finally a center limit theorem of this random walks in the non - recurrence case

    摘要給出了半直線上時間隨機環境下隨機游動的模型，並利用馬氏鏈理論研究了該隨機游動的常返暫留準則和依概率收斂的大數定律，得到在非常返情形下的中心極限定理。
  7. The convergence of integrals of s. i. s. vector random measures with respect to a white noise

    向量隨機測度關于白噪聲的積分的收斂性
  8. In this dissertation, we firstly prove that any dirichlet problem is indeed equal to a voltages problem of networks. we give five solutions to dirichlet problem in two dimensions ; among these five solutions, we prove that the iteration solution and the solution of relaxations are exponential convergence, then we estimate their respective convergence rates ; secondly, we discuss random walks on general networks, prove that there is an one to one correspondence between networks and reversible ergodic markov chains ; thirdly, we give probabilistic interpretation of voltages for general networks : when a unit voltage is applied between a and b, making va = 1 and vb = 0, the voltage vx at any point x represents the probability that a walker starting from x will return to a before reaching b ; furthermore, we study the relationship between effective resistance and escape probability : starting at a, the probability that the walk reaches b before returning to a is the ratio of the effective conductance and the total conductance

    本文證明了任何邊值的dirichlet問題都可轉化為求解電路電壓的問題：給出了計算平面格點上dirichlet問題的5種方法：證明了迭代法和松馳法都是指數收斂的，並分別給出收斂速度的估計；討論了一般電路上的隨機徘徊，驗證了電路與可逆的遍歷markov鏈是一一對應的；給出了電路電壓的概率解釋：當把1伏電壓加於a ， b兩端，使得v _ a = 1 ， v _ b = 0時，則x點的電壓v _ x表示對應的markov鏈中，從x出發，到達b之前到達a的概率；進一步地，給出了逃離概率與有效電阻之間的關系：從a出發，在到達b之前到達a的概率為有效傳導率與通過a的總傳導率之比。
  9. The equations of the mean value functions and the covariance functions are established for dynamical systems whose inputs are fuzzy stochastic processes. an existence and uniqueness theorem of ito fuzzy stochastic differential equations is proved, some explicit representations of solutions and the equations of statistical characteristics are deduced for linear fuzzy stochastic differential equations, and numerical methods to nonlinear fuzzy stochastic differential equations are proposed, the conditions for stability and observability of fuzzy linear systems are derived. the kalman filter algorithms of linear fuzzy stochastic systems are brought forward

    主要成果包括：提出了模糊隨機變量協方差和反向協方差的概念；研究了二階模糊隨機變量的均方收斂性，並在此基礎上得到了均方模糊隨機分析、平穩模糊隨機過程及其譜分解的若干定理；根據均方模糊隨機分析理論，得到了輸入為模糊隨機過程的線性系統的輸出輸入統計特徵關系方程；證明了ito型模糊隨機微分方程解的存在唯一性，並給出了ito型線性模糊隨機微分方程解的表達式，統計特徵方程以及非線性模糊隨機微分方程的數值解法；得到了模糊線性系統的穩定性和可觀性條件、線性模糊隨機系統統計特徵方程和線性模糊隨機系統的kalman濾波演算法；研究了當觀測值是模糊數據時，線性回歸模型的建立。
  10. The method of sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. the iteration numbers and feature abstraction effect are compared with the method in which the initial value is randomly created

    演算法使用sobel邊緣檢測方法，給出優化初始位置和方向，以提高優化的收斂速度，針對提取特徵時的優化迭代次數和提取特徵的效果與隨機產生優化初始值的方法進行了比較。
  11. Convergence and uniform integrability for sequence of b - valued random elements

    值隨機元序列的收斂性及一致可積性
  12. Considering the one - sidedness and inaccuracy of knowledge discovery only from single - color database, an approach is proposed to discover knowledge from 1331 groups of mix - color database with partial least - square regression, based on measuring and learning 400 groups of single - color database. by this method, the mean error decreases when converting from rgb to cmyk, the precision of color matching is improved, and the automatic and general problem in color matching is further solved

    本文基於統計學習理論構造了一種快速自適應隨機搜索演算法，證明了演算法的收斂性.給出了一種簡易實用的寬帶天線匹配設計新方法.應用該自適應演算法進行天線匹配設計，不僅演算法簡單，易於編程實現;而且能夠快速設計出具有較好性能的匹配網路，非常適用於各種短波、超短波天線的匹配設計問題
  13. With the thorough research on these and computer ability increasing quickly, people are paying more and more attention to relational numerical study. the mostly discussion is how to numerical simulate, concering error estimate in long - time, the existence of approximate attractor, well - posedness of solution and numerical solution and dimension estimate and so on, now there are much study [ 5 ], [ 15 ]. spectral method is important numerical method, but it is very hard so that research is a less

    隨著對它研究的深入和計算機能力的迅速提高，與之相關的數值研究也越來越被人們關注，這方面討論的主要是對原系統如何進行數值模擬的問題，涉及到大時間誤差估計，近似吸引子的存在性，穩定性，收斂性及其維數估計等諸多問題，目前已有很多工作。
  14. Complete convergence of m - dependent random b - valued elements

    相依隨機元序列的完全收斂性
  15. Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

    因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。
  16. The classical probability limit theory researchs largely the weak convergence or strong approximation of partial sums of random variable sequences. there is a classical literature, such as [ 19 ], [ 37 ] about that

    經典的概率極限理論研究的對象主要是隨機變量的部分和的弱收斂性或強收斂性， [ 18 ] [ 36 ]就是這方面的經典文獻。
  17. Some covergence of stochastic processes functional in hilbert space

    空間中隨機過程泛函的某些收斂性
  18. To make further study on the optimization capability of iga and other correlative capabilities mathematically, stochastic theory is used to analyze iga. as a result, the global convergence of iga and other correlative characteristics are got. meanwhile, the convergent effect and the mechanism on prevention from premature of iga is studied so that the effectiveness and the superiority of the algorithm proposed in the dissertation are proved theoretically

    為了從數學角度更加深入地分析iga的優化能力及相關性能，利用隨機過程理論對iga進行分析，並證明了iga的全局收斂性及其他相關性質，還對iga的收斂效果以及對早熟的防治機理進行了研究，從而在理論上證明了本文演算法的有效性和優越性。
  19. Through almost sure convergence of random variables, the probability convergence can be derived ; and further the weak convergence can be derived

    摘要由隨機變量序列幾乎處處收斂可推出其依概率收斂，進而可推出其依分佈收斂，可見判別幾乎處處收斂的重要性。
  20. Liang, q., and teng, j. z., 2006. unit root and structural breakpoints in china macroeconomic and financial time series. frontiers of economics in china, 1 ( 4 ), 537 - 559

    滕建州、梁琪： 《中國區域經濟增長收斂嗎？基於時序列的隨機收斂和收斂研究》 ， 《管理世界》 ， 2006年第12期。
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