markov network

It ′ s showed that the elevator configuration based on the new model can decrease the average waiting time of passengers and the elevator average load effectively. So it is superior and more practicable to model the elevator traffic flow using Markov network queuing theory.

结果表明，基于新模型的电梯配置可有效降低乘客平均候梯时间和电梯平均载荷，从而证明了利用马尔可夫网络排队论建立电梯交通模型的可行性和优越性。

It is an important and difficult research project to learn decomposable Markov network structure with missing data. Missing data makes the dependency relationship between variables more disordered and it impossible to learn decomposable Markov network structure directly.

具有丢失数据的可分解马尔可夫网络结构学习是一个重要而困难的研究课题，数据的丢失使变量之间的依赖关系变得混乱，无法直接进行可靠的结构学习。

Subsequently, the method of dividing network lays was proposed based on data transmission in wireless networks, then based on the characteristics of data transmission, a Markov model of systems was constructed, and the performance index of control systems was given.

接着提出了网络传输延时划分的方法，进而根据数据包在网络中传输的延时特性将控制系统建模成Markov模型，并给出了系统的性能指标。

We study a accelerating growth network by Markov method, the system can self-organize a scale-free network.

我们用这种数值计算方法研究了一个具有对数增长的加速增长模型，这个模型也能自组织演化成SF网络。

The article applies the Markov network theory to build the elevator traffic model. Based on the model elevator configuration parameters of the serving stations are calculated.

利用马尔可夫网络排队理论建立了电梯交通模型，在此基础上对各服务站的电梯配置交通进行计算，得到电梯的配置参数。

( 2) Dynamic Time Warping, Vector Quantization, Hidden Markov Model and Artificial Neural Network can be used in speaker recognition.

现有的说话人识别方法有动态时间规整法、矢量量化法、隐马尔可夫模型和神经网络法等，其中HMM已成为目前最佳的说话人识别处理模型。

Then we implement a system, which utilizes Markov network to learn the prior on the high-resolution images.

然后研究基于学习的一般图像超分辨率技术，利用马尔可夫网络来学习图像的先验知识。并且给出了一种基于学习的图像超分辨率算法的系统实现。

A Model of Spam Zombie Network Evolvement Based on Markov Chains

一个基于马尔可夫链的僵尸网络演化模型

Information Retrieval Model Based on Markov Network of Latent Semantic

一种基于潜在语义的Markov网络信息检索模型

This thesis adopts Markov network ( MN) model to propose a new frame description restructuring mechanism.

然后，本文采用马尔可夫网络（MN）模型提出了一个新的框架描述重构机制。

Based on the assumption that the disparity field is continuous, traditional methods regard the disparity field as a Markov network that transmits two-way information.

基于视差场的连续性假设，传统视差估计置信传播算法将稠密视差场抽象为一种马尔可夫场，置信传播在消息双向传递的马尔可夫网络上进行。

Comparative Study of Continuous Hidden Markov Models and Artificial Neural Network on Speaker Recognition

连续隐马尔可夫模型和神经网络在说话人识别中的比较

Markov network is an undirected graph, while Bayesian network is a directed acyclic graph.

Markov网是一个无向图, 而Bayesian网是一个有向无环图.

Network real-time risk assessment based on hidden Markov models

基于隐马尔可夫的网络实时风险评估

Then, By Using Markov Network as learning Model, this paper studies the special kind of face image.

然后，以马尔可夫网络为学习模型，研究人脸这一特殊类别图像。

The traffic flow model is founded based on Markov network queuing theory and the results of the model are applied to elevator configuration. Then this method of elevator configuration is compared with traditional method.

利用马尔可夫网络排队论对电梯交通流建模，并求解该模型，然后将求解结果应用到电梯配置中，通过实例与传统的电梯配置作比较。

However, the elevator-optimizing configuration based on elevator traffic flow Markov network queuing model, which is according to real traffic flow station and synthetically consider all sorts of factor which influence elevator system configuration.

而基于电梯交通流马尔可夫网络排队模型的电梯配置，根据实际交通流情况，并综合考虑各种影响因素，使得电梯配置方案更加符合实际情况。

Model and Application of Elevator Traffic Based on Markov Network Queuing Theory

基于马尔可夫网络排队论的电梯交通建模及应用