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相对信息熵
相关语句
  relative information entropy
    Relative Information Entropy of Particle Production in High Energy Induced Nuclear Reactions
    高能诱发核反应中粒子产生的相对信息熵
短句来源
    (3) Among the equilibrium population, the degree of heterozygosity H and relative information entropy  can be used for the measurement of population diversity. The relative information entropy reflects the information of all genotypes in the population and the degree of heterozygosity H reflects the information of heterogeneous species.
    (3)两对中性等位基因平衡群体中,杂合度和相对信息熵都可以作为群体多样度的测度,相对信息熵反映了群体中所有基因型的信息,而杂合度反映了杂合体的信息,因而作为基因多样度的测度,优于。
短句来源
    A new characteristic quantity called relative information entropy R is introduced,which is employed to investigate the multiplicity distribution of produced particles in 14.6. 60, 200 A GeV oxygen ions and 200 A GeV sulphur ions induced nuclear reactions. It is found that R is insensitive to energy. R increases with the size of rapidity window and rapidly reaches saturation, which explores the fact that the entropy is concentrated in the central rapidity region.
    在本实验中,引用了一个新的特征量,相对信息熵R,研究了能量为14.6,60,200AGeV的氧离子和200AGeV的硫离子诱发核反应的产生粒子多重数分布.在目前的能区中,R近似地能量无关.R对快度窗口大小依赖的饱和性,揭示了中心区的熵集中产生.实验结果与Lund模型的FRITIOF模拟计算的预言一致.
短句来源
    Based on the criteria for the quality of diagram, the criterion of constructing best diagram, namely, maximum relative information entropy was proposed, and the method for the smoothing treatment of histogram was also created using the linear programming.
    基于判断直方图好坏的3条准则,提出了一个构造最佳直方图的定量判据———最大相对信息熵判据,并利用线性规划方法探讨了直方图的平滑化处理。
短句来源
  relative information entropy
    Relative Information Entropy of Particle Production in High Energy Induced Nuclear Reactions
    高能诱发核反应中粒子产生的相对信息熵
短句来源
    (3) Among the equilibrium population, the degree of heterozygosity H and relative information entropy  can be used for the measurement of population diversity. The relative information entropy reflects the information of all genotypes in the population and the degree of heterozygosity H reflects the information of heterogeneous species.
    (3)两对中性等位基因平衡群体中,杂合度和相对信息熵都可以作为群体多样度的测度,相对信息熵反映了群体中所有基因型的信息,而杂合度反映了杂合体的信息,因而作为基因多样度的测度,优于。
短句来源
    A new characteristic quantity called relative information entropy R is introduced,which is employed to investigate the multiplicity distribution of produced particles in 14.6. 60, 200 A GeV oxygen ions and 200 A GeV sulphur ions induced nuclear reactions. It is found that R is insensitive to energy. R increases with the size of rapidity window and rapidly reaches saturation, which explores the fact that the entropy is concentrated in the central rapidity region.
    在本实验中,引用了一个新的特征量,相对信息熵R,研究了能量为14.6,60,200AGeV的氧离子和200AGeV的硫离子诱发核反应的产生粒子多重数分布.在目前的能区中,R近似地能量无关.R对快度窗口大小依赖的饱和性,揭示了中心区的熵集中产生.实验结果与Lund模型的FRITIOF模拟计算的预言一致.
短句来源
    Based on the criteria for the quality of diagram, the criterion of constructing best diagram, namely, maximum relative information entropy was proposed, and the method for the smoothing treatment of histogram was also created using the linear programming.
    基于判断直方图好坏的3条准则,提出了一个构造最佳直方图的定量判据———最大相对信息熵判据,并利用线性规划方法探讨了直方图的平滑化处理。
短句来源
  “相对信息熵”译为未确定词的双语例句
    Evaluation for Data Fusion System Based on Generalized Relative Entropy
    基于广义相对信息熵的数据融合系统性能评估
短句来源
    By use of the super-club data and entropy of the information table, the discretization of continuous attributes was implemented.
    根据条件属性与决策属性之间的依赖关系及相对信息熵概念,实现了连续属性的离散化.
短句来源
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  relative information entropy
In both cases the Riemannian structure on the spaces of thermodynamic parameters is defined by means of the relative information (entropy).
      
Briefly, this approach is based around the concept of the relative information entropy of a document.
      


A new characteristic quantity called relative information entropy R is introduced,which is employed to investigate the multiplicity distribution of produced particles in 14.6. 60, 200 A GeV oxygen ions and 200 A GeV sulphur ions induced nuclear reactions. It is found that R is insensitive to energy. R increases with the size of rapidity window and rapidly reaches saturation, which explores the fact that the entropy is concentrated in the central rapidity region. The experimental results are in good agreement...

A new characteristic quantity called relative information entropy R is introduced,which is employed to investigate the multiplicity distribution of produced particles in 14.6. 60, 200 A GeV oxygen ions and 200 A GeV sulphur ions induced nuclear reactions. It is found that R is insensitive to energy. R increases with the size of rapidity window and rapidly reaches saturation, which explores the fact that the entropy is concentrated in the central rapidity region. The experimental results are in good agreement with the prediction of the FRITIOF simulation of the Lund model.

在本实验中,引用了一个新的特征量,相对信息熵R,研究了能量为14.6,60,200AGeV的氧离子和200AGeV的硫离子诱发核反应的产生粒子多重数分布.在目前的能区中,R近似地能量无关.R对快度窗口大小依赖的饱和性,揭示了中心区的熵集中产生.实验结果与Lund模型的FRITIOF模拟计算的预言一致.

Based on the criteria for the quality of diagram, the criterion of constructing best diagram, namely, maximum relative information entropy was proposed, and the method for the smoothing treatment of histogram was also created using the linear programming.

基于判断直方图好坏的3条准则,提出了一个构造最佳直方图的定量判据———最大相对信息熵判据,并利用线性规划方法探讨了直方图的平滑化处理。

Evaluation for data fusion system is discussed based on relative entropy.The method measures relative information gain with generalized relative entropy.Some of the most common types of uncertain information can be represented in the framework of fuzzy measure.Shapley entropy is introduced to the framework to calculate the amount of information in a fuzzy measure.The relative entropy to fuzzy measures is generalized.Normalized relative entropy is utilized to evaluate data fusion system.This method measures the...

Evaluation for data fusion system is discussed based on relative entropy.The method measures relative information gain with generalized relative entropy.Some of the most common types of uncertain information can be represented in the framework of fuzzy measure.Shapley entropy is introduced to the framework to calculate the amount of information in a fuzzy measure.The relative entropy to fuzzy measures is generalized.Normalized relative entropy is utilized to evaluate data fusion system.This method measures the information gain of data fusion system in the framework of fuzzy measures.Its robustness is good.It is a effective method to evaluate data fusion system.

提出基于度量融合系统信息量增加量的性能评估方法。该方法利用广义相对信息熵作为度量数据融合使系统信息量增加量的指标。将各种常见的不确定信息在模糊测度的框架中表达,利用Shapley熵测度系统信息的信息量,将相对熵推广到模糊测度的Shapley熵中,其归一化值作为定量评价数据融合系统性能的标准。该方法在模糊测度的框架中度量融合系统对系统信息质量的提高,普适性强,是数据融合系统性能评估的一种有效方法。

 
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