In order to plan ahead for multiple moves, an algorithm known as a markov decision process is commonly used when there are only a reasonably small group of possible world states.
为了计划后面多个步骤，当可能的世界状态数目不算太多时，通常用到一种被称作马尔科夫决策过程的算法。
A city's yearly water consumption is a homogeneous Markov chain.
城市年用水量是一个齐次马尔可夫链。
Methods: Based on Markov random fields model of noise, a iteration algorithm was presented by using maximum a posteriori (MAP) criterion.
方法：根据马尔科夫随机场图像模型，利用最大后验概率准则(MA P)，提出一种迭代松弛分割算法。
This type of problem occurs in speech recognition where a large number of Markov models will be used, each one modelling a particular word.
这种类型的问题出现在需要使用大量马尔科夫模型的语言识别中，每一个模型对特定的一个词建模。
Then this thesis presents a new approach to solve top event occurrence rate and a new generation algorithm of minimal cut sequence of dynamic fault tree that deviate from Markov model completely.
提出了一种完全脱离马尔可夫模型的求解动态故障树顶事件发生概率的方法和一种最小顺序割集的生成方法。
To evaluate the defense effectiveness of a radar site with decoys against the attack of ARM, a calculation method based on the transfer probability matrix of the Markov link is given.
为了评定一个布置有诱饵的雷达阵地抗反辐射导弹（ARM）攻击的防御效能，提出了采用马尔可夫链的转移概率矩阵进行计算的方法。
A robot with only distance sensors cannot find its position in a symmetrical environment by means of Markov localization algorithm alone.
对只有距离传感器的机器人在对称的环境中仅仅采用该算法就无法确定位置。
Taking a chemical factory for example, the authors make a tentative study on the prediction of its economic loss of pollution accidents according to the Grey-Markov chains model.
以某化工厂的污染事故的经济损失作为实例，利用灰色马尔柯夫链模型对其经济损失的预测作了尝试性的探讨。
In this paper, we discuss three types of video source models: a autoregressive model, a Markov-modulated fluid flow model, and a Markov-modulated Poisson process model (MMPP).
在本论文中，我们讨论了三种视频源模型：自回归模型、马尔科夫调制流体流模型、马尔科夫调制泊松过程模型(MMPP)。
Aimed at this case, this paper try to construct a simple stochastic volatility model - volatility following a finite Markov chain.
针对这种情况，本文试图建立一种比较简单的随机波动率模型——波动率服从有限马氏链的模型。
The method can be extended to a Markov dependent sequence and a sequence of multivariate trials.
该文的方法可推广到马氏相关序列和多变量序列也能用于其它的游程。
Considering the dynamic changes of a fixed asset under the impact of random factors, this paper has proposed a model for fixed asset based on Markov jump theory.
考虑到固定资产在随机因素影响下的动态变化特性，提出了基于马尔可夫跳理论的固定资产模型。
A mathematical model of a hybrid-switched system has been built up by a two dimensional ergodic Markov process with the state-transition-rates diagram.
本文利用具有状态转移率的马尔柯夫过程建立了一种综合传输交换的数学模型。
A fuzzy Markov random field (FMRF) model is established and a new algorithm based on FMRF for image segmentation proposed in this paper.
本文建立模糊马尔可夫场模型，并提出基于模糊马尔可夫场的图像分割新算法。
In this method, a business process was regarded as a finite stationary Markov chain.
在该方法中，业务过程被看作是一条有限齐次的马尔可夫链。
We adopt a stochastic method and develop a two-state Markov chain model to formulate the collaborative freight consolidation problem.
该研究采用了随机的方法，构建了一个两阶段的马尔科夫链模型来描绘了合作的货物集运问题。
Two approaches to anomaly detection of program behaviors are presented which both use a Markov process to represent the normal behavior profile of a program.
研究了马尔可夫过程在程序行为异常检测中的应用，提出两种新的检测方法。
A dyn amic fuzzy evaluation model is created, which is based on a discrete MARKOV process and fuzzy set theory.
利用马尔柯夫链和模糊集理论，建立多指标动态模糊评价模型。
In this paper a theorem on translating DHMM into Homogeneous Markov Chain is presented. The theorem offers a method of using Homogeneous Markov Cain which is perfect in theory to study DHMM.
本文给出一个将DHMM转化为齐次马尔可夫链的定理，该定理提供了利用在理论上比较完善的齐次马尔可夫链来研究DHMM的一个方法。
The birth and death chain in a random environment and the single birth chain in a random environment are two important models of Markov chain in a random environment.
随机环境中生灭链和随机环境中随机游动是随机坏境中马氏链的两类重要模型。
A specific second-order digital phase-locked loop is modeled after a first-order Markov chain with alternatives, aud analyzed.
按照可列一阶马尔可夫链方式，建立了一个具体的二阶数字锁相环的模型，并对它进行了分析。
This paper proposes a Layered Hidden Markov Model (LHMM) and entropy method to detect a gathering event in real-time.
提出一种结合分层隐马尔科夫模型(LHMM)与熵值的聚众事件实时检测方法。
A ring network can be modeled by a Markov chain and its characteristics can be described by several indicators such as the mean first passage times of the Markov chain.
一个环状网络可以由马尔科夫链来描述，并且通过求解该马尔科夫链的平均首达时间等指标来描述该网络的特点。
Additionally, a hardware DPLL is constructed and tested to provide a comparison to the results obtained from the Markov chain model. It is found that the theoretical predictions are in...
另外，针对一个硬件DPLL进行了测试，与马尔可夫链模型获得的结果进行比较，发现理论预测与实验能很好地吻合。
Based on Markov theory, a dynamic model is proposed for predicting performance of structures, and a method for determining transition probabilities of structures is given.
基于马尔可夫分析理论，给出了人才拥有量预测的马尔可夫模型，并且讨论了模型中转移概率的确定及模型的预测质量等问题。
A sufficient condition of a homogeneous Markov skeleton process being a homogeneous Markov process is given and the transition function is obtained.
给出了一个齐次Markov骨架过程成为齐次Markov过程的充分条件及其转移概率函数。
A sufficient condition of a homogeneous Markov skeleton process being a homogeneous Markov process is given and the transition function is obtained.
给出了一个齐次Markov骨架过程成为齐次Markov过程的充分条件及其转移概率函数。
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