連續概率函數 的英文怎麼說

中文拼音 [liánxùgàilǜhánshǔ]
連續概率函數 英文
continuous probability function
  • 連 : Ⅰ動詞1 （連接） link; join; connect 2 （連累） involve （in trouble）; implicate 3 [方言] （縫） ...
  • 續 : Ⅰ形容詞（連接不斷） continuous; successive Ⅱ動詞1 （接在原有的后頭） continue; extend; join 2 （...
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 連續 : continuation; succession; series; continuity; continuing; running; continuous; successive; contin...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. Two convergence theorems, which show that under suitable conditions evolution strategy asymptotically converges to a global minimum point with probability one, are given

    對于有界閉集上的連續函數，證明了進化策略以概率為1收斂（幾乎處處收斂）于優化問題的全局極小點。
  2. The property of continuous function and the formula of probability addition to the convergence in probability of continuous function sequence of random vector is used

    摘要將依概率收斂的一維隨機變量序列的連續函數仍依概率收斂的結論推廣到隨機向量序列的情形。
  3. This function also bodied such a fact that when the inputs continuously judged as the true objects, the probability of the true input would be strengthened, and on the other hand when some inputs were judged as the false objects continuously, the probability of the true input would be weakened

    為了計算目標識別概率，論文還建立了具有自明性的統計識別函數，可以直觀地顯示真目標和假目標的概率走勢，真假目標在輸入待識別圖像序列中出現的位置，以及連續出現真目標和連續出現假目標時對各自識別概率的增強和抑制作用。
  4. In the domain, we have to use the method of statistics, which is called probability wave function in quantum - mechanics, to determine the distribution of energy in general space

    的不連續性，所以只能用統計學方法，用概率波函數的方法求能量即量子力學中用到的歸一化條件：時空波函數
  5. In chapter l, we introduce the relative background on this paper and give some simple expressions of the work which have been studied. in chapter 2, in virtue of the notion of likelihood ratio the limit properties of the sequences of dependent nonnegative continuous random variables are studied, and a class of strong limit theorems represented by inequalities are obtained. the bounds given by these theorems depend on positive constant c. in chapter 3, by means of the notion of log likelihood ratio, a kind random strong deviation theorem are obtained, and the bounds given by these theorems depend on r ( )

    第一章，介紹本論文的選題背景，對已有的工作進行扼要的介紹；第二章，利用似然比的概念研究相依連續型非負隨機變量序列的極限性質，得到一類強偏差定理，其偏差界依賴于正常數c ；第三章，利用對數似然比的概念得到一類隨機偏差定理，其偏差界依賴于r （ ） ，證明中引進了尾概率和尾概率的laplace變換的概念；第四章，利用對數似然比的概念，得到了一類關于任意連續型隨機變量序列的泛函的強偏差定理。
  6. In chapter two, we consider the non - ruin probability. in section one. by adapting the techniques in [ 5 ], we obtain the integral expression of non - ruin probability in section two, firstly, we prove the twice continuous differentiability of non - ruin probability, then we obtain the integral - differential equation satisfied by ( u ) in section three, we introduce the auxiliary function e ( u ). as u = 0, gives 0

    類似於[ 5 ]中的方法得到不破產概率滿足的積分表達式在第二節中，首先證明了不破產概率的二次連續可微性，然後得到不破產概率滿足的積分-微分方程由於不破產概率零初值時的值不確定，我們在第三節中引入了輔助函數e _ （ u ） ，使得u 0時， e _ （ 0 ） 0 。
  7. 7. for the purpose of analyzing its asymptotic convergence properties the evolution strategy procedures for real - valued function optimization are described. two convergence theorems, which show that under suitable conditions the evolution strategy asymptotically converges to a global minimum point with probability one, are given

    對于有界閉集上的連續函數，利用作者給出的一種簡潔的方法，證明了一類進化策略以概率為1收斂（幾乎處處收斂）于優化問題的全局極小點，為進化演算法的收斂性分析提供了一種新的模式。
  8. First by introducing nonlinear measures, the existence, uniqueness and global exponential stability of the equilibrium point of this kind of neural networks are investigated. two different lipschitz continuous activations are considered. some sufficient conditions and convergence estimate for global exponential stability of neural networks are obtained on condition that self - feedback is nonlinear

    第一種是通過引入非線性測度的概念，分別對激勵函數採用了兩種不同的lipschitz連續假設，給出這兩種不同連續假設下神經網路系統的全局指數穩定性條件，並分析其指數收斂率。
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