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
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- In the business world, entropy rules.
在商业世界中,无序状态主宰一切。
- In the business world, entropy rules.
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
- entropy increases as matter and energy in the universe degrade to an ultimate state of inert uniformity
- (communication theory) a numerical measure of the uncertainty of an outcome
- the signal contained thousands of bits of information
双语例句
- 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。 - Shannon entropy was introduced to reflect the changes of internal product constitution of primary industry more clearly.
引入了信息熵的概念,更好地反映了第一产业内部产值结构的变化。 - It analyzes the theory and characteristics of entropy.
深入分析了熵的基本理论和特点。 - Using a simple method, this paper established a Boltzmann relation on entropy.
本文用一种简单的方法建立了熵的玻尔兹曼关系式。 - 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。 - 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。 - Entropy is the measure of the disorder or randomness of energy and matter in a system.
熵是对一个系统里的能量和物质随机程度的衡量。 - 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 - 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。 - And weighted infromation entropy and weighted conditional entropy of information system based on set-value function is presented also.
还提出了基于一般的集值函数的信息系统加权信息熵和条件熵概念。