本篇论文致力于通过膜模型研究黑洞的统计熵，并尝试寻找解决信息佯谬的办法。
This thesis is devoted to investigating black hole entropy by using the membrane method, and trying to find a possible way of solving the black hole information problem.
以GIS中线元不确定性为例，讨论了线元不确定性的统计熵、模糊熵和混合熵估计方法，并针对特例给出了线元不确定性的熵带分布。
Taking the uncertainty of line segment as an example, this paper discusses the evaluating methods of statistic entropy, fuzziness entropy, and hybrid entropy...
阐述了以表述信息演化规律的信息(熵)演化方程为核心的非平衡统计信息理论。
In this paper, we propose a nonequilibrium statistical information theory, whose kernel is information (entropy) evolution equation describing information evolution law.
构成了此体系的非平衡统计算符，进而导出其粒子数、动量、能量、力和熵等一系列宏观方程。
The nonequilibrium statistical operator (NSO) of the system is constructed and a series of macroscopic equations for its particle number, momentum, energy, force aad entropy etc. are derived.
用信息熵和马尔柯夫方法对各地震带资料进行了统计计算。
After statistically calculating the seismic data of each zone by means of information entropy and and Markov method.
我介绍了一个系统的方法应用贝叶斯统计推论和最大熵来处理量子蒙特卡罗模拟所得到连续虚时间的数据。
We present a systematical way to use Bayesian statistical inference and the maximum entropy to deal with the data obtained by the continue imaginary-time QMC simulations.
所谓最大熵方法就是遵循最大熵原则建模，也就是选择这样的一个统计概率模型：在满足约束的模型中选择熵最大的那个。
The so-called maximum entropy method is to find a model keep to the maximum entropy principle, which means select the statistic model that has the maximum entropy and satisfy all the constrains.
根据系统密度矩阵，讨论了系统熵随时间的演化和系统光子统计性质。
According to the system density matrix, discussed the evolution of the system entropy with time and photon statistical properties of the system.
本文首先对统计机器翻译若干主要方法进行了研究和探讨，包括基于信源信道思想和基于最大熵思想的若干模型。
In this paper, some major methods of statistical machine translation are researched and discussed, including source-channel model and maximum entropy model.
本文论述了熵的概念及其熵的统计解释，探讨了熵在信息科学、社会经济和工程技术中的应用。
The concept of entropy and the entropy 's statistics explanation is discussed and its applications in information science and social economy and technology.
在最大熵等统计机器学习模型当中，特征函数的选择可以说是对系统整体性能影响最大的部分。
The feature functions were reckoned as the most important part of the maximum entropy model which could affact the last result of system.
统计分析结果显示，“感知质量”与“熵”的相关性系数只有0.41，说明熵统计方法在彩色夜视融合图像质量评价上存在困难。
Experimental result shows that the correlation coefficient between perceptual quality and entropy is only 0.41, the entropy method is difficult to assess color fusion images for night vision.
用统计力学的观点，探讨了熵的统计意义及热力学第二定律的统计实质。
This paper discusses the essence of entropy and Second Law of Thermodynamics and points out that entropy and Second Law of Thermodynamics can be explained well by statistical mechanics.
本文综述了基于信源信道思想和基于最大熵思想的统计机器翻译方法并介绍了统计机器翻译的评测方法。
The paper gives a survey on three approaches of statistical machine translation and the evaluation methods used in SMT.
这四种特征选择采用的统计方法是：卡方、信息增益、互信息、交叉熵。
The four kinds of feature selection statistics include Chi-square, information gain, and mutual information and cross entropy, and the four corresponding feature sets are obtained.
为了改善图像质量，将信息熵的概念与图像的局部对比度信息相结合，提出了一种基于熵概念的非线性噪声的滤除方法，并进一步利用局部统计信息对图像进行增强。
To improve the quality of images, a method that USES the local contrast information combined with the entropy concept to suppress the nonlinear noise in images is described here.
并运用区位熵法对9个最大城市的部门结构进行了初步分析，揭示了其中存在的一些问题，最后运用统计分析方法对各城市主导产业进行了分级。
Then with position quotient law, each department structure of 9 biggest cities has been carried out preliminary analysis, and has been revealed some existent problems.
实验结果表明，该预处理方法改变了图像的统计特性，从而提高了图像的压缩比和熵编码效率。
The experimental results illustrate that the proposed method efficiently improves the performance of entropy coding by increasing the compression ratio than that of plain entropy coding.
初始光场统计性质的不同对最大场熵值和最大场熵值变化的幅度产生较大的影响；
The different statistical properties of the initial fields will give great effects on the values of the maximum field entropy and the variational range the highest value of field entropy;
初始光场统计性质的不同对最大场熵值和最大场熵值变化的幅度产生较大的影响；
The different statistical properties of the initial fields will give great effects on the values of the maximum field entropy and the variational range the highest value of field entropy;
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