The imperceptibility, anti-extraction, secrecy and robustness are described by entropy and conditional entropy. Then theory relations in some security factors and influences from the object and key are introduced.3.
用熵、条件熵等信息论知识描述了隐蔽性、抗提取性、保密性、鲁棒性等影响信息隐藏安全性的因素,并分析了原始载体、密钥对安全性的影响以及各安全因素之间的一些理论关系。
参考来源 - 信息隐藏的安全性研究The formula of the prior knowledge classification standard was deduced used of the information entropy and the condition entropy formula, which add the priori knowledge parameter to the weighting sum.
论文中利用信息熵、条件熵公式推导出先验知识度划分标准公式,该公式把信息熵公式中加权和转换为加权和加先验知识度参数。
参考来源 - 基于决策树分类算法的CRM系统研究The numeric results show that conditional entropy has a sharp minimum when there is a generalized synchronization between the two systems. ,the transition point appears correspond with the second Lyapunov exponent transits from positive to zero。
数值模拟结果表明:随着耦合强度的增大两系统出现广义同步时,条件熵随着时间参数变化出现突出的最小值,转变点与系统的第二大Lyapunov 指数从正变为零准确对应。
参考来源 - 混沌同步及其应用研究·2,447,543篇论文数据,部分数据来源于NoteExpress
知识约简后决策表的条件熵等于初始决策表的条件熵。
The conditional entropy of decision table will not change in the reduction process.
简要地介绍了不确定性、信息熵、联合熵、条件熵、互信息的基本概念。
The basic concepts of uncertainty, information entropy, united entropy, term entropy and mutual information were introduced briefly.
首先介绍了模糊概率、用条件概率与条件熵定义模糊划分熵的概念以及模糊划分的原理。
Firstly, a definition of fuzzy partition entropy is proposed after introducing the concepts of fuzzy probability and fuzzy partition.
So the point is, this balance between energy thatyou could think of as say bond energies in chemical reactions, and entropy that you can think of in terms of disorder, how many different possible combinations or configurations of something wrong, will dictate where the equilibrium lies.
关键在于,这种能量与熵之间的平衡,确定了平衡的条件,在化学中能量涉及键能,而熵和无序有关,即有多少可能的不同组合或者形位,二者的平衡会告诉我们平衡态是什么样子。
So we immediately get du at constant S and V is less than zero.
这样我们马上就得到以下结论:,在等熵,等容条件下dU必须小于零。
Now, we can immediately see what du/dV at constant entropy is.
我们能够很容易看出,恒定熵的条件下du/dV的数值。
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