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

• The calculation method of objective index weight through the concept of entropy in information theory avoided man-made subjectivism.
  借用信息论中熵的概念计算客观权重的方法，避免了人为的主观性。
• Aim In order to study the application of fuzzy relative entropy for fuzzy pattern recognition.
  目的研究模糊相对熵在模式识别中的应用。
• 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。
• The effect of optimum orders on minimum entropy generation was analysed.
  分析了优化级数对最小化熵产生的影响；
• This paper introduces synergetic theory and proposes multi-path load forecasting automatically coordinated approach based on the maximum entropy principle.
  本文引入协同学原理，提出了一种基于最大信息熵的多路径负荷预测自动协调方法。
• 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。
• 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。
• A pruning algorithm based on entropy theory for designing BP neural network structure is proposed.
  提出了一种基于熵理论的BP神经网络结构设计修剪算法。
• 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。
• The solvent effects, the compensation of the activation enthalpy, and the activation entropy were discussed.
  对溶剂效应和焓-熵补偿作用进行了讨论。