stochastic simulation 中文意思是什麼

stochastic simulation 解釋
隨機模擬
  • stochastic : adj. 1. 機會的；有可能性的;隨便的。2. 【數學】隨機的。
  • simulation : n. 假裝；模擬；裝病，裝瘋；【生物學】擬態，擬色。
  1. Application of stochastic simulation to interlayer modeling

    應用隨機模擬技術建立夾層模型
  2. After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system

    論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。
  3. As to the stochastic simulation of stochastic biological processes, if only use stochastic petri net, although it has standard graphics expression, which is isomorphic to markov chain, along with the increase of models ’ scale and complexity, the number of states will increase exponentially, so it is very difficult to analyze models by the method which stochastic petri net has ; if only use stochastic algorithm, which has rapid simulation speed, but lack of intuitive graphical expression

    對于隨機生物過程的模擬，如果只採用隨機petri網模擬生物隨機過程，其優點是形象、直觀，缺點是隨著模型的規模和復雜性的增加，狀態的數量呈指數性地增長，出現模型狀態空間的爆炸問題，用隨機petri網本身的分析方法很難分析整個系統的性能;如果只採用隨機模擬演算法模擬，其優點是速度較快，但是缺少形象的圖形表達，不利於模擬技術的應用。
  4. The results of stochastic simulation indicate : ( 1 ) the reliability of simulating result is quite different by different simulation methods ; ( 2 ) sequential indicator simulation is a much more preferable way for the simulation of complicated heterogeneous reservoirs than truncated gaussian simulation, ( 3 ) the result of the former is more reliable matching with the true cases, while the latter shows a lower accuracy

    結果表明： （ 1 ）不同模擬方法建立的微相分佈模型的可靠程度不同； （ 2 ）截斷高斯模擬不能真實再現相序關系復雜的微相分佈，結果出現局部失真現象； （ 3 ）序貫指示模擬適用於非均質性復雜的低滲儲層微相展布的描述，結果具有可信性和預測性。
  5. Based on the modified house of quality, the chance - constrained programming model is developed to determine the optimal striving targets by stochastic simulation and genetic algorithm, and the 0 - 1 integer programming model is derived for the decision - making of reengineering objectives

    基於改進的質量屋建立了機會約束規劃模型，通過隨機類比和遺傳演算法確定最佳奮斗目標；建立了0 - 1整數規劃模型，用於經營過程重構目標的決策。
  6. In this paper, for the application of stochastic simulation of ground motion, we put forward a method of determining the parameters of path and site using digital seismic data of small - moderate earthquakes

    摘要本文從強地面運動隨機模擬方法應用出發，提出了一種用中小地震的數字觀測資料確定研究區路徑、場地參數的方法。
  7. The analysis and design class diagram are given. the sequence indication stochastic simulation algorithm based on indicator kriging is realized. the algorithm applies to discrete and continuous variable has no restrict to data distribution

    系統給出了沉積相隨機建模的分析類圖和設計類圖，實現了基於指示克里金估計的序貫指示隨機模擬演算法，該演算法對離散數據和連續數據都適用，不要求數據的分佈特徵，可以較好的模擬相特徵。
  8. Stochastic simulation of wind turbulence field for a long - span bridge

    大跨度橋梁脈動風場的隨機模擬
  9. Stochastic simulation study on inflow flood of longtan hydropower station

    龍灘水電站入庫洪水隨機模擬研究
  10. The method of sequential indicator stochastic simulation firstly make the geological information discretization code, normally two indicator variables of 0 and 1. then make the kriging theory act on the variables to get the kriging estimation of indicator variables, namely estimation of probability distribution of the variables in a unknown position

    序貫指示隨機模擬方法首先將地質信息進行離散編碼，通常編碼成0與1兩值的指示變量，然後將克里金的基本思想用於指示變量，最終得到指示變量的克里金估計，即未知位置變量的概率分佈的估計。
  11. Based on the above - said characteristics, a combination of stochastic simulation and fuzzy simulation is applied for establishing ship economy expected value model

    基於以上特點，文章採用隨機模擬和模糊模擬相結合的方法建立了船舶經濟指標期望值模型。
  12. The computer stochastic simulation test was used to study repeat number for controlling the probability of type ii errors and establish a formula calculating sample size in the ease of known historical data

    利用計算機摸擬試驗，從控制犯第二類錯誤的概率來研究兩總體均值比較試驗時的重復次數問題，求得在已知歷史資料情況下樣本容量的計算公式。
  13. From the angle of uncertainty of inflow and water consumption, the risk of water dispatching on the lower reaches of the yellow river is analyzed. inflow series are generated by use of the method of representative disaggregation. water consumption series are generated according to rainfall probability distribution. a model for risk analysis of water dispatching is established with the technique of stochastic simulation, and a quantitative description of risk is presented, thus, making the water dispatching decision - making more scientific

    從來水和用水不確定性角度分析黃河下游水量調度風險.對來水採用典型解集方法生成來水系列，對用水根據降雨概率分佈生成用水系列，利用隨機模擬技術建立了水量調度風險分析模型，給出風險的定量描述，從而使水量調度決策更加符合實際
  14. The third chapter is the study of dfa modeling, which probes into such research fields as modeling components in dfa model, applicability of scenario analysis and stochastic simulation, building structure of dfa model, and how to use the dynamo 3. 0 dfa software, etc. the fourth chapter discusses the application of dfa in financial management fields, especially in financial forecasting, of our country ' s insurance companies

    該部分內容對保險公司「動態財務分析模型」的模型要素；情景分析、隨機模擬方法的適用性；保險公司動態財務分析模型的構建；以及dynamo3 0動態財務分析軟體的使用等問題，做了深入的分析和思考。第四章著力探討動態財務分析在保險公司財務管理中的應用問題。
  15. Use stochastic simulation, create the plainness sequence of the stable stochastic road surface for the target road spectrums with programming, and use logistic test to verify

    採用隨機模擬方法，通過編程產生目標路譜的平穩隨機路面不平度序列，並通過數理檢驗進行驗證。
  16. Application of stochastic simulation technique to frequency analysis of regional drought

    隨機模擬方法在地區乾旱頻率分析中的應用
  17. Sedimentary facies modeling use the monte carlo stochastic simulation method based on geostatistics

    沉積相建模採用以地質統計學為基礎的蒙特卡羅隨機模擬方法。
  18. More and more people applied the method of stochastic simulation to heterogeneous modeling of reservoir. and each method is different from others such as basal principle, extent of complex, applied condition and so on. they all have their own applicability, advantages and disadvantages

    隨機模擬方法越來越多的適用於儲層非均質性建模中，各種隨機模擬方法在其基本原理、復雜程度和應用條件諸方面均有不同，每一種方法都有它的適用條件、優點及缺點。
  19. Gillespie, d. t. " exact stochastic simulation of coupled chemical reactions. " j. phys. chem. 81 ( 1977 ) : 2341 - 61

    偶合化學反應的確切隨機模擬。期刊物理化學第81卷。第2341到2361頁。
  20. Abstract : in order to discuss the adaptability, advantage and disadvantage of various stochastic simulation for sedimentary micro faces of reservoir are analyzed, and truncated gaussian simulation and sequential indicator simulation, which are generally used in quantitative description of reservoir, will be adopted to simulate the framework of faces of a low permeable reservoir for the comparative study of different simulation technologies

    文摘:為了對儲層沉積微相不同隨機模擬方法的適應性及其優劣進行量化分析，以低滲透儲層為例，採用普遍使用的截斷高斯模擬和序貫指示模擬技術，進行了沉積微相定量描述的對比研究。
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