stochastic sampling 中文意思是什麼

stochastic sampling 解釋
隨機采樣
  • stochastic : adj. 1. 機會的；有可能性的;隨便的。2. 【數學】隨機的。
  • sampling : n. 1. 取樣（品），取標（本）〈指行動或程序〉。2. 樣品，標本。3. 剽竊拼湊歌曲。
  1. Monte carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory. when comes to bayesian classification, it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability. then, it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one

    蒙特卡羅是一種採用統計抽樣理論近似求解數學或物理問題的方法，它在用於解決貝葉斯分類時，首先根據已知的先驗概率獲得各個類標號未知類的條件概率分佈，然後利用某種抽樣器，分別得到滿足這些條件分佈的隨機數據，最後統計這些隨機數據，就可以得到各個類標號未知類的后驗概率分佈。
  2. In view of the fact that the genetic algorithm of stochastic programming based on random simulated technology has succeed greatly, this paper points out that changing parameters of genetic algorithm can obtain a sequence of optimum values of goal function. taking these genetic algorithm values as sampling data, we can get fitting optimum function by using multivariate spline regression and get the lipschitzs constant of the fitting optimum function. so for any chance constrained programming problem, we can get its interval estimate

    鑒于基於隨機模擬技術的遺傳演算法在求解隨機規劃問題上的優越性，本文指出，改變遺傳演算法的參數條件，在此基礎上求得機會約束規劃的若干個最優值，以這些最優值為樣本點，利用多元樣條回歸，擬合得到最優值函數，進而求出最優值函數的lipschitzs常數，從而對于任一機會約束規劃問題，都可以得到它的一個區間估計。
  3. Stochastic and uncertain performance of power systems is thoroughly studied with a probabilistic simulation method in this paper. based on modeling of element failure and dispatching measures, static, dynamic and integrated securities are analyzed, and hence operation states are quantitatively classified. in probabilistic static security assessment, sequential and non - sequential monte - carlo sampling techniques are applied considering time varying parameter and constraints

    本文採用概率模擬方法，深入研究了電力系統運行中的隨機和不確定特性，在對元件隨機故障和調度控制措施建模的基礎上，對系統的靜態安全、動態安全和綜合安全進行概率評估，建立了電力系統運行狀態的量化分析模型。
  4. Sampling methods for common distributing random numbers and the samples of random fields are proposed. combining the monte - carlo simulation technique with the one - dimensional discretization finite element method, the monte carlo - finite element method for stochastic analysis and the reliability computation of thin - walled box girders are proposed in this thesis

    建立了幾種常用分佈隨機數以及隨機場隨機樣本的產生方法；將蒙特卡羅數值模擬與薄壁箱梁一維離散有限元法相結合，提出了薄壁箱梁隨機分析和可靠度計算的蒙特卡羅有限元法。
  5. Meanwhile, caused by the stochastic disturbances and measurement errors, monitoring model based on single measurement value of individual sampling time tends to lack credibility and stability, and can ' t reflect the overall phase - specific operation state

    同時，由於各種隨機擾動的影響及測量誤差的存在，針對單一采樣時刻的過程測量值進行建模往往不能保證足夠的可靠性與穩定性，無法實時反映過程時段整體運行情況。
  6. But to this algorithm, it is important to select initial value and the amount of computation is large ; ( 3 ) an algorithm is presented to estimate the prfs based on stochastic dynamic - linear models. ( 4 ) a new algorithm for selecting detecting threshold based on the wavelet theory is presented to the environment when pulse sequences distribute unevenly in the whole sampling time

    該演算法的不足是對初始狀態的選取非常重要且運算量較大； （ 3 ）提出基於動態線性模型利用prf進行重頻分選的演算法； （ 4 ）將小波理論應用到重頻分選中，提出了一種新的檢測門限，適用於脈沖列分佈不均勻的信號環境。
  7. The sampling could be stochastic and non - scheduled in the implementation of the official sampling procedure

    官方抽樣程序保證了抽樣工作的隨機性和不確定性。
分享友人
分享到 Line

分享到臉書