简要介绍最大信息熵原理及其概率估计方法，推导出二阶矩意义下的最大熵概率密度分布表达式。
The maximum entropy principle method and the corresponding probability evaluation method are introduced, and the maximum entropy probability distribution expression is deduced in two degree moment.
本文尝试利用信息熵理论以最大信息熵原理为判断准则，研究衡量能源消费结构的定量方法来试图解决这一问题。
The paper tries to fill the gap by studying the energy consumption structure by informational entropy theory and the principle of Maximum informational entropy.
鉴于最大信息熵模型中参数标定比较困难，提出了确定系统分布的熵方法。实验验证表明这种方法简单可行，是对最大信息熵原理的扩充。
Because of the difficulty in calibrating parameters in the maximum information entropy models, the entropy method that can effectively select models is used to describe the system distribution.
MEFS在基于最大熵原理的基础上，运用互信息和Z -测试技术，采用两步方法进行空间特征选择。
Based on the theory of maximum entropy, MEFS USES mutual information and Z-test technologies, and takes two-step method to execute feature selection.
以最大熵原理为基础，建立了最大熵瓦斯灾害信息特征提取模型，提出了最大熵模型的参数训练算法。
A maximum entropy model of feature extraction for the gas disaster information is established, with the training algorithm of the maximum entropy presented.
基于最大应力信息熵原理，针对振动结构给出了传感器布局的优化准则。
It presents an optimality criterion for the placement of sensors in the vibration structure. The basic idea is the maximum stress information entropy.
基于最大应力信息熵原理，针对振动结构给出了传感器布局的优化准则。
It presents an optimality criterion for the placement of sensors in the vibration structure. The basic idea is the maximum stress information entropy.
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