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   划分系数 的翻译结果: 查询用时:0.016秒
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划分系数
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  partition coefficient
     Based on the maximum classification information, a new cluster validity function, which modified Bezdek's partition coefficient, is defined.
     根据每一样本的最大分类信息 ,对 Bezdek定义的划分系数进行修改 ,提出了一个新的聚类有效性函数 ,讨论了该函数的若干性质。
短句来源
     CLUSTERING VALIDITY FUNCTION BASED ON POSSIBILISTIC PARTITION COEFFICIENT COMBINED WITH FUZZY VARIATION
     可能性划分系数和模糊变差相结合的聚类有效性函数
短句来源
     Clustering Validity Function Based on Partition Coefficient Combined with Total Variation
     划分系数和总变差相结合的聚类有效性函数
短句来源
     Clustering validity function based on intra-variance and modified partition coefficient
     基于类内差和改进划分系数的聚类有效性函数
短句来源
     Partition coefficient is a common method for clustering validity test.
     划分系数是聚类有效性检测中常用方法之一 .
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  “划分系数”译为未确定词的双语例句
     Based on the property of P(u,c),we can conclude that the performance of P(u,c) and V pc (u,c) as cluster validity function is alike.
     本文对已有的划分系数P(u ,c)作了进一步研究 ,指出P(u ,c)可以作为聚类有效性函数使用 ,其性能与划分系数Vpc(u ,c)相仿 . 据此对原有的聚类有效性函数FP(u ,c)作了一定的理论分析 ,并就本文使用的数据进行了计算机模拟 .
短句来源
     The effect of fuzzy clustering is assessed by using demarcation quotiety and the average fuzzy entropy of the demarcation.
     利用划分系数Fc(U)和划分的平均模糊熵Hc(U)对聚类效果进行评价.
短句来源
     The membership function is constructed, and the optimization fuzzy division could be gained by iterative algorithm, then the samples are classified on principle of the maximum membership grade, and finally the classification rationality and cluster validity are verified by F-Statistic and the value of clustering validity function respectively.
     文章构建了样本隶属函数,用迭代的方法得到最优模糊划分系数,以最大隶属度原则对样本进行分类,最后应用F统计量和聚类有效性函数值来分别检验分类的合理性和聚类的有效性.
短句来源
  相似匹配句对
     The grid generation and computation of influence coefficients of duct panels are key problems for the accuracy of the calculated results.
     网格划分和影响系数计算是其核心问题。
短句来源
     Studies on Partition Coefficient and its Normalization
     划分系数与归一化型的比较研究
短句来源
     90, and the Cron- bach's coefficient .
     90,! 系数.
短句来源
     economic coefficient;
     经济系数;
短句来源
     DIVISION OF HULL SECTIONS
     船体分段的划分
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  partition coefficient
QSAR reveals that if partition coefficient, connectivity index, and shape index of these molecules are altered, the activity is likely to increase.
      
Structural fragments, quantum chemical indices, and hydrophobicity (octanol-water partition coefficient) were used as descriptors (properties of the molecules introduced in the model).
      
The set of molecular and topological parameters includes electrotopological state of the carboxy and methyl groups, molar refractivity, refractive index, n-octanol-water partition coefficient logKo/w, surface tension, and polarizability.
      
The behavior of partition coefficient differs drastically from impurity capturing by diffusion mechanism.
      
It has been shown that for the triblock copolymer (Pluronic L61), the partition coefficient is 45 ± 9, while for the diblock copolymer (REP), this parameter is as high as 78 ± 17.
      
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Based on the possibility theory,a new partition coefficient is introduced. By combinating thisnew partition coefficient with the partition coefficient defned by J . C . Bezdek , we give a new cluster validity func-tion. Experimental results show this cluster validity function's effectiveness and robustness.

依据可能性理论,本文引入了一个新的划分系数。结合J.C.Bezdek给出的划分系数,定义一个新的聚类有效性函数。计算机模拟表明该聚类有效性函数具有良好判决功能和鲁棒性。

To improve the ability of fault diagnosis in complicated system, a fuzzy clustering method is introduced on the basis of the original fault diagnosis. It can distinguish complicated faults more efficiently and accurately. This paper uses fuzzy C mean method to classify original sampling data and uses the other methods to get the original iterative matrix. Finally, the three coefficients are used to evaluate the result of fuzzy clustering. The experimental results indicate that the accuracy of this fuzzy...

To improve the ability of fault diagnosis in complicated system, a fuzzy clustering method is introduced on the basis of the original fault diagnosis. It can distinguish complicated faults more efficiently and accurately. This paper uses fuzzy C mean method to classify original sampling data and uses the other methods to get the original iterative matrix. Finally, the three coefficients are used to evaluate the result of fuzzy clustering. The experimental results indicate that the accuracy of this fuzzy fault diagnosis is improved.

为了提高复杂系统故障的诊断能力,采用模糊C-均值聚类算法对原始采样数据进行聚类,并通过模糊传递闭包法和绝对值指数法得到模糊C-均值法的初始迭代矩阵.用划分系数、划分熵和分离系数来评价聚类的结果是否最佳.采用模糊聚类方法可避免研究复杂系统的内部特性,比仅依据其外部输出的数据进行故障诊断方法简便.通过某飞行器测试系统的应用,表明采用模糊聚类方法后,提高了判别故障的准确率.

Based on the property of P(u,c),we can conclude that the performance of P(u,c) and V pc (u,c) as cluster validity function is alike.At the same time,FP(u,c) is not suitable for cluster validity function according to theoretical analysis and experiments.

本文对已有的划分系数P(u ,c)作了进一步研究 ,指出P(u ,c)可以作为聚类有效性函数使用 ,其性能与划分系数Vpc(u ,c)相仿 .据此对原有的聚类有效性函数FP(u ,c)作了一定的理论分析 ,并就本文使用的数据进行了计算机模拟 .理论分析与计算机模拟得出了同样结论 :FP(u ,c)作为FCM算法的聚类有效性函数是不合适的

 
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