markov-process model 中文意思是什麼

markov-process model 解釋
馬爾可夫過程模型
  • 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...
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  1. We do research on the transitions between states of network protocol, the protocol misusage detection model based on markov chain, the framework of the ids technology and protocol anormity after we discuss the current technology. the main research contents of this paper include : research on transitions between states of network protocol and session process, protocol misuage and the anomaly detection model based on markov chain, the research of intrusion detection framework, more accurately model based on the characteristic of the network traffic and so on

    在分析了現有入侵檢測系統的基礎上，本文圍繞典型網路協議狀態轉換、基於馬爾可夫鏈的檢測模型、入侵檢測技術框架、以及協議異常等幾個方面展開深入研究，主要工作內容包括:典型網路協議轉換狀態的分析和會話過程的研究;基於馬爾可夫鏈的網路異常檢測模型;分散式的檢測架構;針對網路流量特徵而提出了精確的檢測模型等。
  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. 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。
  4. 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。
  5. 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
  6. 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。
  7. For quantitative analysis of the combat platform fire application, the markov chain model of combat platform with reciprocal striking, hasty break through and shooting to dense target is studied by setting up markov chain which state and time are discrete according to the markov property in this process

    摘要針對定量分析戰斗平臺火力運用問題，根據該過程所具有的馬爾可夫性特點，將其描述為狀態離散、時間離散的馬爾可夫鏈，由此研究了一對一格鬥、倉促突破戰斗、對密集目標群射擊等情況下的馬爾可夫鏈模型。
  8. 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
  9. 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。
  10. 2 ) we can do it by applying the dcf model and earning income scheme. second ly, whereas these theories are applied very well abroad, i will discuss the practicability of these theories when we use in chinese stock market, then i will draw a conclusion that there is some localization when these theories are applied in chinese stock market. finally, by studying the markov process, we can see the equity risk premium data which are derived from chinese stock market have characteristic of markov process, so i will establish the model based on the markov process and make a short time forecast about chinese equity risk premium

    我們首先對諸多國外理論工作者在這方面的研究做一次總體的介紹與分析，國外的理論工作者在研究股權風險溢價，可以分為兩大類：一是運用歷史數據估計未來股票市場的業績；二是以運用dcf模型或收入收益方案為基礎進行的研究工作；其次，鑒于上述理論在國外良好的實用性，我們進一步討論這些國外的理論在研究中國股票市場股權風險溢價時的實用性，並得出這些理論應用於中國股票市場的局限性；最後，通過對馬氏鏈的研究得出中國股票市場上的股權風險溢價的樣本數據同樣滿足馬氏鏈的特徵，本文建立了基於馬氏鏈的股權風險溢價模型。
  11. A model for sale management by markov process

    過程的一類銷售管理模型
  12. The results show that the ionosphere - weighted model or the tropospheric estimation, integrated with the partly - weigthed least squares, can improve, the success rate and the reliability of ambiguity resolution ; however, if the ionospheric delay or the tropospheric delay, which is modeled on random walk process or first - order gauss - markov process, is estimated with the kalman filter, it will reduce the success rate and the reliability of ambiguity resolution

    將電離層延遲作為零均值的隨機遊走過程（電離層加權模型） ，將對流層延遲作為靜態參數，採用非遞推形式的加權最小二乘法來估計，可以提高模糊度解算的成功率和可靠性。
  13. In the study of environment model - based processing, the thesis presents a signal enhancement method based on combination of the ocean acoustic propagation, measurement system and noise models. furthermore, a signal enhancement algorithm is developed on the basis of the model - based identifer ( mbid ) implemented by the the augmented gauss - markov process and corrsponding extended kalman filter

    本文通過了對模基信號處理實現信號增強的理論研究，提出了一種利用傳播模型、噪聲模型和陣測量模型、並注重環境信息來實現水聲信號增強的方法，繼而實現了基於增廣高斯?馬爾可夫過程和相應的擴展卡爾曼濾波聯合的模基辨識器的信號增強演算法。
  14. Abstract : 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

    文摘: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
  15. The main work is to study how the markov process can be applied to forecast the repairing frequency of naval vessels. the mathematical model is established, when the estimated data of the mathematical model tallies with the actual situation of repairing frequency of naval vessels, the mathematical model of markov process is used to forecast the yearly repairing frequency of different naval vessels

    重點研究馬爾可夫過程（ markovprocess ）在艦船維修頻密度預測方面的應用，通過建立數學模型，在驗證數學模型估算值與艦船維修頻密度實際情況相吻合的前提下，用馬爾可夫數學模型分別預測各型艦船的年度維修艘數。
  16. The consistently repeated system call sequences in normal process trace were regarded as macros, and then an anomaly detection model based on system call macros markov chain was created

    把正常程序行為產生的系統調用跡中大量有規律的重復出現的系統調用短序列看成一個個獨立的基本單位（宏） ，並以宏為基本單位構建一個基於馬爾可夫鏈的異常入侵檢測模型。
  17. Chapter2 : traditional time series models and multivariate fuzzy time series models. the chapter introduces the vector arma model, transfer arima model, seasonal arima, and arima model of traditional time series models, and two - factors models, heuristic models, and markov models of multivariate fuzzy time series models. i devise the process of the model construction, and propose the findings

    本章介紹傳統時間數列模型（向量arma模型、 arima轉移函數模型、季節性arima模型以及arima模型）與多變量模糊時間數列三種模型?二因子模型（ two - factormodels ） 、引導式模型（ heuristicmodels ） 、馬可夫模型（ markovmodels ） ，模型建構步驟與流程，及傳統時間數列模型轉換為多變量模糊時間數列模型過程，並分別針對多變量模糊時間數列三種模型提出本研究不同於先前研究之處。
  18. Based on the mechanism of computer immune system, this paper presents a new anomaly detection technique to detect intrusion into computer system. in this technique, a markov chain model is used to represent a temporal profile of normal behavior of a process. the markov chain model of normal profile can be created by learning the historic data of the sequence of system calls produced by privileged processes running on unix system

    傳統的入侵檢測技術，依照所基於的原則不同，通常分為誤用入侵檢測與異常入侵檢測，本文在入侵研究中所採用的計算機系統免疫思想的基礎上，提出了一種新的異常入侵檢測技術，通過對（ unix系統）特權進程系統調用序列的歷史數據的學習，用馬爾可夫鏈模型來建立特權進程的正常時態行為輪廓。
  19. Established the resolution model of the non - markov process associated with the system and the availability of the overall system is determined by a function of the reliability and maintainability of each item

    建立相應的非馬爾柯夫過程關系模型，確定系統有效性與系統各單元的可靠性和維修性之間的函數關系。
  20. The optimal model of inspection and maintenance for the deteriorating system is presented with the semi - markov decision process

    摘要提出了一類基於半馬氏決策過程的劣化失效系統檢測與維修優化模型。
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