entropy

英 [ˈentrəpi]

美 [ˈentrəpi]

n.  无序状态测量法; 熵(物质系统的不能用于作功的能量的度量); 无序状态

复数：entropies　

计算机

BNC.13494 / COCA.19607

牛津词典

noun

• 无序状态测量法
  a way of measuring the lack of order that exists in a system
• 熵（物质系统的不能用于作功的能量的度量）
  a measurement of the energy that is present in a system or process but is not available to do work
• 无序状态
  a complete lack of order
  1. In the business world, entropy rules.
     在商业世界中，无序状态主宰一切。

柯林斯词典

• 无序状态;混沌状态
  Entropyis a state of disorder, confusion, and disorganization.

英英释义

noun

• (thermodynamics) a thermodynamic quantity representing the amount of energy in a system that is no longer available for doing mechanical work
  1. entropy increases as matter and energy in the universe degrade to an ultimate state of inert uniformity
  Synonym:randomnessS
• (communication theory) a numerical measure of the uncertainty of an outcome
  1. the signal contained thousands of bits of information
  Synonym:informationselective information

双语例句

• This paper proposed a genetic clustering image segmentation algorithm on entropy.
  设计了一种基于熵的遗传聚类分割算法。
• TSK fuzzy modeling approach based on entropy criteria is presented in this paper.
  提出了一种基于熵准则函数的TSK模糊系统建模方法。
• It uses a random pool to gather entropy from user inputs and system parameters.
  它使用一个随机池，以收集用户输入和系统参数熵。
• The environment entropy theory has been expanded according to the entropy increase theory.
  依据熵增理论，从理论上拓展了环境熵的概念。
• The Application of Entropy Method and AHP in Weight Determining
  熵值法和层次分析法在权重确定中的应用
• The Maximum Entropy Method is a kind of parameter spectrum estimation method based on AR model.
  最大熵谱估计法是以AR模型为基础的一种参数谱估计方法。
• Based on this, we establish the quantitative model of apperceive situation by the conception of information entropy.
  在此基础上，利用信息熵的概念建立了感知态势的定量模型。
• Research on Multi-harmonic Source Summation Method Based on Maximum Entropy
  基于最大熵的多谐波源求和方法研究
• Otherwise, based on the entropy of information principles, to forecast the ability of interference to motivate brittleness.
  基于信息熵原理，预测了干扰对脆性激发的能力。
• Entropy and information flows are explained; the compressibility of information and Shannon's theorem are also mentioned.
  本章介绍了信息流、信息的压缩和Shannon法则。