markov process 中文意思是什麼

markov process 解釋
馬爾柯夫過程
  • markov : 馬爾科夫
  • process : n 1 進行，經過；過程，歷程；作用。 2 處置，方法，步驟；加工處理，工藝程序，工序；製作法。3 【攝影...
  1. The study of infinitesimal operator on conditional markov process

    過程無窮小運算元的研究
  2. First of all, this paper introduce the markov chain theory. after analying the specifications of http, smtp, ftp, telnet and tcp, we know the tcp session is fit for the markov process. in this paper, we analyze the transitions between states of the application layer with the normal tcp traffic, and build a protocol misusage detection model with the normal traffic in darpa data set

    本文採用了馬爾可夫鏈理論，仔細分析了tcp協議規范，並研究分析了典型網路應用層協議http 、 smtp 、 ftp以及telnet ，驗證了基於tcp協議的會話過程就是一個馬爾可夫過程。
  3. Reliability - modeling for the repairable system based on markov process

    基於馬爾柯夫過程的可修系統可靠性建模
  4. When high - bandwidth star sensor measurements are available, according to the singer tracking model, the full angular acceleration is modeled as a first order markov process while the use of the attitude dynamics is totally avoided

    在能夠獲得高頻星敏感器測量的情況下，針對模型不確定問題，提出了一種基於singer模型的新的濾波演算法，把角加速度建模為一階馬爾科夫過程，從而避免了使用姿態動力學模型。
  5. They are expanding model of the bomb body, bursting model of the bomb body and motion model of the fragments. according to the models, the paper gives a detailed algorithm for the whole process of the bomb explosion. ( 7 ) based on the explosion mechanism and the stochastic characteristic of the shell, the paper advances some reasonable hypotheses and supposes that the explosion process of the shell is a markov process, thus constitutes two explosion models of the shell : the imitation model an

    （刀從爆炸的機理出發，利用合理的假設，將殼體的爆炸過程處理為馬爾可夫過程，把爆炸的機理同爆炸的隨機性聯系在一起，建立了殼體爆炸的兩種模型:模擬模型和簡化模型，提出了破裂程度的倍密度函數和破裂方向的倍密度函數兩個概念，得到了基於半邊結構的虛擬殼體爆炸過程中任一條邊出現裂縫的概率公式。
  6. A dynamic input - output model with random consumption vector s ( t, ), random consumption coefficient matrix and random investment coefficient matrix which the time lag is one has been discussed. by means of modern stochastic analysis and markov process, it has been proved that the random dynamic input - output model does not have a balanced growth solution

    對具有隨機消費向量s （ t ， ） ，隨機投入產出消耗系數矩陣、隨機投資系數矩陣的動態模型，利用現代概率分析、馬氏過程等工具，證明了其經濟穩定增長解不存在的結論
  7. Researches on the usage of markov process in short - time forecast of japanese yen

    論馬氏鏈分析方法在匯率短期預測中的應用
  8. This paper presents the reliability analysis of three systems as following by using markov process theory and linear equation theory. ( 1 ) multi - sensor 2 / 3 ( g ) repairable decision - making system ( 2 ) cold standby repairable system of two components with continuous lifetime switch and priority ( 3 ) warm standby repairable system of two components with continuous lifetime switch and priority in this paper, we take an application of multi - sensor fusion in neural network, and set up the mathematic model of 2 / 3 ( g ) repairable decision - making system, which is composed of different components

    本文利用馬爾可夫過程理論、線性方程組理論以及laplace變換和laplace逆變換對以下三個系統做了可靠性分析： （ 1 ）多傳感器融合可修2 3 （ g ）表決系統（ 2 ）有優先權的開關壽命連續型兩個不同型部件冷貯備可修系統（ 3 ）有優先權的開關壽命連續型兩個不同型部件溫貯備可修系統多傳感器融合技術是近幾年發展起來的一門新興技術，已廣泛應用於軍事領域，並逐漸在航天、遙感、機械製造技術中得到應用。
  9. It plays a very important role in many application, according to the point of mathematics point, its mostly application originate from equations of mathematical physics, difference equations, markov process, and so on, its purpose is to solve the problems of solid, fluid, electromagnetic, microscopic particles, system control, and etc. in practical science research and engineer applications, such as, architecture project, research of aeronautics and astronautics, bioscience, computing physics and oil reconnoiter, many large scale generalized eigenvalue problems need to be solved

    它在很多應用中扮演非常重要的角色，從數學角度來看，矩陣特徵值問題的應用大多來自數學物理方程、差分方程、 markov過程等。目的是為了計算固體、流體、電磁、微觀粒子、系統控制等重大問題。在實際的科學研究與工程應用中，比如在建築工程、航空航天研究、生物科學、計算物理以及石油勘探中，都要涉及到大規模矩陣廣義特徵值問題的計算。
  10. Supposed that the fluid in all the fields will accomplish a transport in down - flow distance a z, the flow in trickle - bed is a m step markov process, where m = z / z ( z - the height of trickle - bed ). according to the theory of random process, the statistic of the markov process will be calculated out from the original distribution and state - transport matrix

    假定液體從床層上端面向下流過z距離后，處于各區的流體就實現了一步轉移，則可將床內液體的流動視為從一個初始分佈開始，經過m步（ m = z z ， z為床層高度）轉移的狀態離散、滴流床流率分佈的模擬與整流時間離散的markov過程。
  11. Markov process in area industrial structure evolution

    區域產業結構演進的馬爾科夫過程
  12. In the study of risk theory, a class of continuous time risk process with deficit - time geometry distribution of claim inter - occurrence time was made into a strong piecewise - deterministic markov process with the theory of piecewise - deterministic markov process and by introducing a supplementary variable. martingale approach is one of the most powerful methods of pdmp. the programming process is getting the ruin probability from the martingale construction. we use the idea of change of measure in the programming process and find the result and the function of adjustment coefficient

    本文應用逐段決定馬爾可夫過程理論及補充變量技巧，使索賠到達間隔服從虧時幾何分佈的連續時間風險過程成為齊次強馬爾可夫過程，然後利用pdmp中的鞅方法（用廣義生成運算元得出鞅）推導了鞅的形式，作為該風險模型索賠額分佈為一般分佈下的破產概率的一般表達式，其中用到了測度變換的思想。
  13. Based on the study of strength degradation of material in the fatigue process, a strength degradation model is proposed. a stochastic differential equation, which controls strength degradation, is obtained from the model randomized by markov process. by using the theory of stochastic, the distributions of residual strength at any given lifetime and lifetime of any given residual strength are attained. under a few suitable hypotheses, inverse gaussian distribution of fatigue life is derived, and verified by means of experimental data. the result shows that the model and the method are reasonable

    在研究疲勞過程中材料強度退化規律的基礎上，建立了一個強度退化模型.對其進行隨機化處理，得到控制強度退化過程的隨機微分方程.在一定假設條件下，獲得了剩餘強度概率密度函數的封閉解，並推導出疲勞壽命的反高斯分佈形式.給出一種考慮損傷狀態對隨機漲落影響的近似處理方法.與試驗數據的比較結果表明，本文的模型和方法是合理的
  14. Markov decision process, in short mdp, is also called sequential stochastic optimization stochastic optimum control. the controlled markov process or stochastic dynamic programming is the theory on stochastic sequential decision

    馬爾可夫決策過程（ markovdecisionprocesses ，簡稱mdp ，又稱序貫隨機最優化、隨機最優控制、受控的馬爾可夫過程或隨機動態規劃）是研究隨機序貫決策的問題的理論。
  15. This risk process is made into a homogeneous piecewise deterministic markov process by introducing supplementary components from forward markovization technique. then a martingale is found by the martingale approach of piecewise deterministic markov process ( pdmp ). the general expression and the lundberg bound of the ruin probability are derived subsequently. the idea of change of the probability measure and the adjustment coefficient are used to find the lundberg bound

    首先利用向前馬爾可夫技巧使此風險過程成為齊次馬爾可夫過程，然後利用逐段決定馬爾可夫過程（ pdmp ）中的鞅方法，得到本文風險模型中鞅的形式，繼而求得索賠額分佈為一般離散分佈的破產概率的一般表達式，並得到破產概率的lundberg界，這里用到了測度變換的思想，從中可以看出調節系數的重要作用。
  16. For the circling moon phase mission, this paper proposes an autonomous optical navigation algorithm using the gauss - markov process and unscented kalman filter

    針對繞月軌道段任務，提出了基於高斯-馬爾科夫過程和unscented卡爾曼濾波的自主軌道確定方法。
  17. For the problems arising from the absence of exact dynamics models, the gauss - markov process is used to approximate the un - model acceleration term in the circling orbit dynamics

    利用高斯-馬爾科夫過程近似繞月探測器的無模型加速度，並利用基於unscented卡爾曼濾波估計了探測器的位置、速度及無模型加速度。
  18. Moreover a sufficient and essential condition ensuring that some special kind of markov process has infinitely divisible limit distributions was given

    由此，給出了一個較易驗證的保證極限分佈存在的充要條件，並對某類特殊形式的馬氏過程給出了具有無窮可分的極限分佈的充要條件。
  19. Successfully applied markov process to analyze the change of vegetation cover, and point out the change of vegetation transition is not a single markov process but a multi - markov process and also is a long term process. 9. the writer proved that under the 8km resolution, the markov process ca n ' t estimate the trend of land use by two term - data no matter it ' s sequence or at intervals. through analyzing the change of each vegetation area, the change of spatial data and the markov process, the main conclusions are : in plain of china western arid land, the desert area decreased and the oasis area increased, most of the increase represents extension of the traditional oasis

    利用回歸方程對今後的植被變化情況進行了模擬預測，其結果具有一定的參考價值；南京氣象學院博士學位論文8 .將馬爾科夫過程成功地應用於中國西部干早區的植被變化分析當中，指出，植被的轉移變化不是一重馬爾科夫過程，而是一個多重的馬爾科夫過程;而且是一個步長較長的馬爾科夫過程; 9 .證明在8klll尺度下，馬爾科夫過程不能使用兩期的土地利用變化來預測土地利用的發展趨勢，無論這兩期的時間是連續的還是有一定時間間隔的;通過各類植被的面積變化、空間變化及馬爾科夫過程分析認為:中國西部乾旱區在平原區整體上荒漠面積減少，綠洲面積增加，綠洲的面積擴大主要表現在原有綠洲的擴大。
  20. The risk analysis of non - performing loans of banks by markov process

    過程的銀行不良資產風險分析
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