1) stochastic entropy priority
随机熵权
2) random entropy
随机熵
1.
The conception of the covering numbers and the packing numbers and the metric entropy on a metric space were introduced,and the conception of the random distance and the random covering numbers and the random entropy on a function space were introduced.
介绍了一般度量空间中覆盖数、包容数与度量熵的概念以及函数空间中随机距离、随机覆盖数与随机熵的概念。
2.
The method is based on the random entropy,taking into account of the uncertainty caused by fuzzy entropy.
该方法是在随机熵的基础上,考虑到模糊熵引起的不确定度,将二者有机结合,计算出总体不确定度值。
3) Stochastic entropy production
随机熵产生
4) random conditional entropy
随机条件熵
1.
The notion of entropy density deviation and average random conditional entropy of arbitrary information sources on finite alphabet set relative to nonhomogeneous Markov chain are introduced,and the random deviation inequations between the relative entropy densities of arbitrary information sources and the average random condition entropy relative to nonhomogenous Markov chain are obtained.
通过引进有限字母集上任意信源相对于非齐次马氏链的熵密度偏差和平均随机条件熵的概念 ,得出了任意信源的相对熵密度与相对于非齐次马氏链的平均随机条件熵之间的随机偏差不等式 。
2.
A class of strong limit theorems for the random conditional entropy densities of the sequence of arbitrary random variables on the gambling system are discussed by applying the differentiation on a net and analytical methods.
采用网微分法和分析运算方法来研究赌博系统中任意随机变量序列随机条件熵的一类强极限定理,并由此得出若干任意信源的Shannon-Mcmillan定理。
3.
In this paper, the notion of random conditional entropy of finite nonhomogeneous markov chains is introduced, and the relation between this notion and the relative entropy density is studied.
本文引进有限非齐次马氏链随机条件熵的概念，研究这个概念与相对熵密度的关系，并通过数列的绝对平均收敛的概念给出有限非齐次马氏链的相对频率、相对熵密度和平均随机条件熵ａ。
5) entropy of a random variable
随机变量熵
6) average random conditional entropy
平均随机条件熵
1.
By improving the original condition,obtain the strong law of large numbers on the frequencies of occurrence of states and ordered couples of states,relative entropy density,average random conditional entropy for finite non-homogeneous Markov chains.
研究一类有限非齐次马氏链的强大数定律,通过改进已有条件,得到了一类关于状态及状态序偶出现频率、熵密度、平均随机条件熵的强大数定律,推广了已有结果。
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