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homogeneous markov process相关的网络例句

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与 homogeneous markov process 相关的网络例句 [注:此内容来源于网络,仅供参考]

In this new model, the fuzzy-Markov theory is applied to analyze and predict the state transition of the uncertain factor in SPA model. By this way, the precision can obtained a significant improvement. Based on the correlation coefficient and mean square deviation of eigenvalue, two verify methods for fuzzy-Markov fitting in multidimensional space are suggested.

针对fuzzy-Markov子系统,分别提出了基于相关系数和特征值方差的多维空间模糊马尔可夫链拟合效果检验的两个新方法,并据此定量考察fuzzy-Markov子系统对参数响应的敏感性,用以确定最佳的模型参数组合。

Markov proved the minimality of variance of LSE in 1900. this is the famous Gauss-Markov definition, which found the position for LSE in parameter estimate field.

后来, A。 A.Markov于1900 年证明了LSE 的方差最小性质,即著名的Gauss -Markov定理,奠定了LSE 在参数估计理论中的地位。

First, this paper denotes a method on the basis of information entropy to build up Markov net, and presents an effective constitution arithmetic of the Markov net on the basis of information independent testing, which is on the basis of dependence analogy and only needs CI testing.

介绍了概率网的基本概念以及目前国内外的应用研究现状,探讨一个基于信息熵方法构造的马尔科夫网络,给出了有效的基于信息独立测试的马尔科夫网络的构造算法。

Meanwhile, for the characteristics of plant disease spot, segmentation model was created by utilizing the local correlated characteristic of Markov random field and linear stationary auto-regression model formed by Gauss distribution, and self-adaptive segmentation of plant disease spot was realized through optimizing the model with improved ant colony algorithm and maximum a posteriori probability estimation of Gauss-Markov random field.

同时,利用Markov随机场的局部相关特性并结合Causs分布组成线性平稳自回归模型,针对植物病斑特征建立分割模型。最后,采用改进型蚁群算法对其进行优化,并结合Gauss-Markov随机场最大后验概率估计,实现对植物病斑的自适应分割。

This essay introduced the basic analysis method of Markovian prediction method and the Markov chain model is established to solve the common problems. The transition probability matrix is set up by using the theory of Markov chain.

本文从马尔可夫预测法的原理入手,通过剖析其方法的基本思想,推导出体现马尔可夫预测法基本思想的预测模型,着重介绍转移概率矩阵在经济领域的应用。

The results indicated:(1)the combination of the Markov and spatial logistic models can improve the predictability of each model individually. In macroscopic scale, the total land use amount can be predicted via Markov chain; in microscopic scale, the multi-class multinomial logistic model can be used to implement the combined calculations of categorical variable and continuous variable, qualitative variable and quantitative variable to improve the precision of spatial regression. Meanwhile, the transition probability of each land use unit will be confirmed and the prediction of land use spatial distribution will also be completed.(2)the application system developed in accordance with the integrated model can effectively simulate and predict the land use evolution in Shenzhen City, and the prediction precision of verification system will suffice for recent land use monitoring and the making of annual land supply planning.

研究结果:(1)空间Logistic和Markov模型集成可提升单一模型的应用能力,宏观上利用Markov Chain进行土地利用规模总量预测,微观上利用多分类Multinomial Logistic模型解决分类变量与连续变量,定性变量和定量变量的联合解算提高空间回归精度,同时可以确定每一个土地利用单元转移概率,实现土地利用空间分布的预测;(2)基于集成模型开发出的应用系统能够有效仿真和预测深圳市土地利用演化,通过验证系统预测精度能够满足近期土地利用预警和年度土地供应计划编制。

The adaption is done during operation and occurs by means of a displacement of the stored midpoint vector of the probability density distributions of hidden Markov models, in the direction of a known feature vector of sound expressions and in relationship to the hidden Markov models specially used.

适应是在运行中完成的,并且是通过隐含式-马而科夫-模型的概率密度分布的被存储的中心矢量的一个位移发生的,是在一个被识别的发音表达的特征矢量方向上并且是参照应用的隐含式-马而科夫-模型。

Main contributions are local optimal decoding algorithm of Hidden Markov model that was applied into off-line handwriting character recognition and parameter estimations. An abridged algorithm and parameter estimation of Hidden Markov models applied in character recognition were presented under simple hypothesis.

文中主要给出隐马氏模型在文字识别中局部最优的解码算法;在简单假设的前提下给出隐马氏模型在文字识别应用中的一种简化算法和相应的参数估计。

Markov chain: discret-time Markov chains, classification of states, ergodic, stationary distribution.

马尔可夫链:离散时间的马尔可夫链,状态的分类,遍历性,平稳分布。

The transition matrix that is also called the environment of Markov chain is a key factor of Markov chain.

影响马氏链的一个关键问题就是转移矩阵,亦称之为马氏链的环境。

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Liapunov—Schmidt method is one of the most important method in the bifurcation theory.

Liapunov—Schmidt方法是分叉理论的最重要方法之一。

Be courteous -- even when people are most discourteous to you .

要有礼貌──即使当別人对你最不礼貌的时候。

I think we have to be very careful in answering these questions, because nothing is really so simple.

我认为,我们在回答这些问题的时候应该非常谨慎,因为事情远没有那么简单。