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熵相关系数
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  “熵相关系数”译为未确定词的双语例句
     COCA—a new way to auto-detect association based on entropy correlated coefficients
     基于熵相关系数的关联性自动判别方法——COCA
短句来源
     To guarantee the accuracy of the estimates made by optimizer,this paper proposed a new method named COCA(entropy-COrrelated-Coefficient-based Auto-detection of association).
     为保证优化器估值精度,用统计学方法,给出了一种基于熵相关系数的对字段关联性的自动判别的新算法———COCA。
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  相似匹配句对
     Interrelating Entropy
     相关
短句来源
     Statistical Properties of D-Correlation Coefficient
     D相关系数的统计性质
短句来源
     RESEARCH ON THE RELATED COEFFICIENT OF THE UNCERTAINTY
     不确定度的相关系数的研究
短句来源
     COCA—a new way to auto-detect association based on entropy correlated coefficients
     基于相关系数的关联性自动判别方法——COCA
短句来源
     Related Entropy and Its Finiteness Condition
     相关及其有限性的条件
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Structure parameter tt of an atom is defined in terms of electeronegativity, bonded electron number and effect principle quantum number. The topological index of effect principle quantum number n K is set up by ti as , in which K and K among "K are defined as and K are highly correlated with lattice energies, bond length and standard entropies of alkali metal halides. Their correlation coefficients are 0.9957, 0.9849,0.9735 respectively. K has good correlativity for reaction differential section of alkali metal...

Structure parameter tt of an atom is defined in terms of electeronegativity, bonded electron number and effect principle quantum number. The topological index of effect principle quantum number n K is set up by ti as , in which K and K among "K are defined as and K are highly correlated with lattice energies, bond length and standard entropies of alkali metal halides. Their correlation coefficients are 0.9957, 0.9849,0.9735 respectively. K has good correlativity for reaction differential section of alkali metal halides as well. n K is an ideal topological index which can be to predict the physical and chemical property of alkali metal halides.

利用电负性、成键电子数、有效主量子数定义的原子结构参数为t_i,由t_i建构有效主量子数拓扑指数~nK=∑(t_i·t_j·t_k…)~(0.5),其中,0价指数~0K=∑(t_i)~(0.5),1阶指数~1K=∑(t_i·t_j)~(0.5)。~0K、~1K与碱金属卤化物的晶格能、键长、标准熵的相关系数依次为0.9957、0.9849、0.9735。~1K与碱金属卤化物的反应微分截面也具有良好的相关性。~nK是一种比较理想的拓扑指数,可用于碱金属卤化物理化性质的预测。

Statistical characteristic analysis of remote sensing image is fundamental to image fusion and interpretation,and the quantitative analysis of each band is the premise of image fusion.In this paper,lots of experiments on band combination and statistical characteristic analysis have been studied with SPOT 5 in Tian'eshang forestry center,Zixing county,Hunan province.The method adopted was the combination of typical object spectrum and their image quantitative analysis,then entropy,correlation matrix,and covariance...

Statistical characteristic analysis of remote sensing image is fundamental to image fusion and interpretation,and the quantitative analysis of each band is the premise of image fusion.In this paper,lots of experiments on band combination and statistical characteristic analysis have been studied with SPOT 5 in Tian'eshang forestry center,Zixing county,Hunan province.The method adopted was the combination of typical object spectrum and their image quantitative analysis,then entropy,correlation matrix,and covariance matrix between SPOT 5 bands were calculated.The results showed that: 1) band 3 has the biggest standard deviation,followed by band 4,2 and 1;2) band 4 has the biggest entropy,followed by band 1,2 and 3;3) band 2 and band 3 have the biggest covariance matrix,which means that the infrared bands are more independent.Meanwhile,the data collected from field spectrometry instrumentation showed that: 1) the spectrum reflectance is vary differently between water,sward and bare land;2) the spectrum reflectance of arbor is very adjacent in visible light,and has certain difference in the area from infrared to near infrared,which is very significant in the forestry remote sensing study.According to these results,the best band combination is band 1 for red,band 4 for green,and band 3 for blue,which is ascertained by the associated entropy and the optimum index factors.

遥感影像特征分析是影像融合和解译的基础,而对遥感数据源各个波段进行定量分析是图像融合的前提。本文以SPOT5为遥感数据信息源,在湖南省资兴市天鹅山林场进行了图像特性和波段组合的实验研究。研究主要采用了典型地物的光谱数据采集分析和遥感数据定量分析相结合的方法,计算出各波段之间的熵、相关系数和协方差。研究结果表明:SPOT5各波段的标准差大小顺序为:波段3>波段4>波段2>波段1,熵值的大小顺序则为:波段4>波段1>波段2>波段3;波段3与波段4的协方差最大,而且两波段又处在红外区域,说明红外波段之间独立性较强;从光谱辐射仪采集的数据来看,水体、草地、裸土地的光谱反射率就有很大的差异性。乔木树种的光谱反射率在可见光区域内非常接近,在红外———近红外区域内具有一定的差异,红外———近红外区域波谱对林业遥感研究具有极其重要的意义;利用联合熵和最佳指数方法确定了最佳波段组合为1(R)4(G)3(B)波段。

Self-managing and self-optimizing is currently a hot research field in database.To guarantee the accuracy of the estimates made by optimizer,this paper proposed a new method named COCA(entropy-COrrelated-Coefficient-based Auto-detection of association).In comparison with CORDS,COCA has the following features:(1) Fewer limitations.It overcomes the limitation that Chi-square test needs at least 80% of the cells in the contingency table have frequencies greater than 5.(2) More results.CORDS can tell the correlation...

Self-managing and self-optimizing is currently a hot research field in database.To guarantee the accuracy of the estimates made by optimizer,this paper proposed a new method named COCA(entropy-COrrelated-Coefficient-based Auto-detection of association).In comparison with CORDS,COCA has the following features:(1) Fewer limitations.It overcomes the limitation that Chi-square test needs at least 80% of the cells in the contingency table have frequencies greater than 5.(2) More results.CORDS can tell the correlation between columns,while COCA can further discern the specific association degree for both directions.Experiments show that COCA is more robust and produces more statistical information,which is supportive to the creation of more effective and efficient histograms.

数据库自管理、自调优中查询计划的自动优化是目前的关注热点。为保证优化器估值精度,用统计学方法,给出了一种基于熵相关系数的对字段关联性的自动判别的新算法———COCA。该算法有下列特点:(1)限制少,没有卡方检验的频数限制,卡方检验只有在列联表中至少有80%的格子频数大于5的情况下才可信;(2)结果多,卡方检验(CORDS)只判断字段之间是否有关联,新方法可计算字段之间双向的关联程度。实验表明,新方法更坚固,产生更多的统计信息,可以支持后面更高效、准确地建立直方图。

 
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