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非加权
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  non-weighted
     Considering different influences of non-transactional variations on different stock price indexes, all kinds of amendment methods of non-weighted stock price index and weighted composite stock price index are proposed and compared.
     针对非交易性变异对不同类型股价指数具有不同的影响 ,提出非加权股价指数和加权综合股价指数的各种修正方法 ,并分别对非加权股价指数和加权综合股价指数的不同修正方法进行比较
短句来源
     Then we investigate a theorem for weighted complete convergence though this theorem for non-weighted complete conver- gence. We improve the obtained results of others.
     然后通过此非加权和的完全收敛性定理来研究加权和的完全收敛性定理,从而改进了前人所获得的已有的一些结果.
短句来源
  un-weighted pair
     Results indicated that 25 parent varieties (lines) could be divided into six groups by UPGMA (un-weighted pair group mathematics average) clustering based on GD. SI-1300 and SI-1320 could be singly clustered into onegroup, respectively. Male varieties from China could be divided into another group.
     结果表明,基于遗传距离的UPGMA(非加权类平均法)聚类法可将25个亲本材料分为6组,SI-1300、SI-1320各为一组,来源于中国的2个父本品种为一组,SI-1310与来源于国外的其它品种分属另3组。
短句来源
  “非加权”译为未确定词的双语例句
     Unweighted pair oroop method, Unweighted Pair Oroop Method usingarithmetic Averagr method (UPGMA) and neighbor-joining method (NJ) were used to analyze the variation between breeds through calculating genetic heterozygosity, polymorphic information content (PIC), effective alleles number, Nei's genetic distance.
     通过计算遗传杂合度、多态信息含量、有效等位基因数、NEI氏遗传距离,分别用非加权配对算术平均法(Unweighted Pair Oroop Method usingarithmetic Averagr,UPGMA)聚类分析和和邻近结合法(neighbor-joining method,NJ),分析品种之间的遗传变异情况。
短句来源
     The phylogenic tree was constructed in PHYLIP(2000)and MEGA(2.1) software using both unweighted pair group method witharthmetid mean and aximum parsimony methods.
     应用PHYLIP(2000)和MEGA(2.1)软件,用非加权组平均法(UPGMA)和最大简约法(MP)构建系统发生树。
短句来源
     The analysis of the genetic similarities showed that the Nei's similarity indexes of various genotypes ranged within 0. 438 6-0. 893 6,averaging at 0. 766 8. Their genetic dendrogram were drawn by UPGMA, which indicated that the twenty-three varieties could be classified into 3 groups.
     遗传相似性分析表明,各基因型间的Nei’s相似系数分布在0.438 6~0.893 6之间,平均相似性系数为0.766 8。 通过非加权算术平均数聚类(UPGMA)法,绘制了它们的遗传关系树状图,23个品种可划分为3个类群。
短句来源
     The software of NTSYS pc version 1.80 was used to calculate Jaccard's genetic similarity coefficients, and two dendrograms were constructed by the unweighted pair group method of arithmetic average (UPGMA) on the basis of the similarity coefficient matrices.
     分析采用 Jaccard' s相似系数 ,使用 NTSYS- pc1 .80数据分析软件 ,非加权组平均法 (UPGMA)聚类。
短句来源
     Then a dendrogram was constructed from the matrix of genetic distances using the STATISTICA software (4.5 version) and UPGMA (Unweighted Pair-Group Method using the Arithmetic Averages).
     实验数据用STATISTICA ( 4 5版本 )软件进行分析 ,遗传距离用UPGMA (非加权对组算术平均值聚类 )方法进行聚类。
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  相似匹配句对
     A Disassortative Weighted Network
     一个匹配的加权网络
短句来源
     Reconstruction from non-uniform average sampling
     平均加权采样的重建
短句来源
     Weighted Sorting
     加权排序法
短句来源
     Weighted Shift Operators
     加权移位算子
短句来源
     From a Non-unit to a Unit
     从单位到单位
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  non-weighted
No relationship was found between litter size and latitude using non-weighted regression.
      
Continuous and categorical observer agreements were tested by Bland and Altman and extended (κe) or non-weighted kappa (κ) and correlated with percentual VCT to predict observer agreement.
      
Numerical comparisons between the weighted schemes and the non-weighted schemes have been done for scalar equation, one-dimensional Euler equations, two-dimensional Navier-Stokes equations and parabolized Navier-Stokes equations.
      
The results show that frequency-weighted algorithms are responsive to both particle velocity and concentration, whereas non-weighted algorithms respond to concentration only.
      
The estimated root mean square errors (RMSE) of both methods are smaller than the non-weighted standard deviation.
      
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  un-weighted pair
An un-weighted pair-group method using arithmetic averages (UPGMA) indicated a high level of diversity in the pathogen isolates (51 lineages of Xoo at a 70% similarity level).
      
Un-weighted pair group method with arithmetic mean (UPGMA) based cluster analysis generated two clusters at 56% similarity value.
      
The accessions clustered into two groups, the modern varieties and the landraces by the un-weighted pair-group method using arithmetic average (UPGMA).
      
The accessions clustered into two groups, the modern varieties and the landraces by the un-weighted pair-group method using arithmetic average (UPGMA).
      


Based on then -tuple method and the weighted training principle,the weighted adaptive pattern recognition system is proposed in order to overcome the disadvantages of the simple training strategy used in the typical adaptive patternrecognction system——WISARD. Tt can eliminate the pseudo-feature automatically,emphasize the inherent feature oftraining patterns, improve the recognition performance. In this paper is presented for the first time the mathematical description of the weighted adaptive pattern recognition...

Based on then -tuple method and the weighted training principle,the weighted adaptive pattern recognition system is proposed in order to overcome the disadvantages of the simple training strategy used in the typical adaptive patternrecognction system——WISARD. Tt can eliminate the pseudo-feature automatically,emphasize the inherent feature oftraining patterns, improve the recognition performance. In this paper is presented for the first time the mathematical description of the weighted adaptive pattern recognition system. The training and classifying procedures are expressed abstractly as the matrix transformation for patterns. The classification behaviour of the system is determined by the logical function matrix, which are built by the training patterns. Some preliminary properties of the system are also discussed in the paper. It is indicated that the recognition performance of the weighted system is much better than that of the non-weighted system if the weighted training thresholds are selected reasonably. Both uppper and lower bounds of the weighted training threshold are also given at the end of the paper.

基于n元原理,采用加权训练思想,为克服经典自适应模式识别系统——WISARD的简单训练策略之不足而提出的加权自适应模式识别系统,具有自动消除伪特征、突出训练模式的固有特征、改进系统的分类性能筹优点。本文首次用数学手段描述了加权自适应模式识别系统,把系统的训练与分类过程抽象为对模式进行矩阵变换的过程。系统的分类行为由训练模式所建立的逻辑函数矩阵来表征。文中还对系统的性质作了初步探讨,指出只要合理地选取加权训练阀值,加权系统的分类性能不会弱于非加权系统。最后还给出了加权训练阀值的上界和下界。

This paper introduces the major methods of the international comparison used by the international organizations and scholars, especially. the method of using the index of social progress to define the status of China in Asia in 1980 and 1986. The methods of unweighted and weighted aggregation are used to calculate the index of social progress of each country. In computing weighted index of social progress, weighting factors are given by principal component analysis for avoiding personal subjective factors. and...

This paper introduces the major methods of the international comparison used by the international organizations and scholars, especially. the method of using the index of social progress to define the status of China in Asia in 1980 and 1986. The methods of unweighted and weighted aggregation are used to calculate the index of social progress of each country. In computing weighted index of social progress, weighting factors are given by principal component analysis for avoiding personal subjective factors. and improving accuracy. The status of China in Asia were placed at the 13th position in 1980, and the 12th in 1986 based on the method of unweighted computation, while the 16th in 1980, and the 12th in 1986 based on the method of weighted computation.

提出了正确评价中国社会的发展和进步是很重要的.简要介绍了国际组织、学者进行国际比较所采用的几种主要方法,着重介绍了用社会进步指数方法来确定1980年、1986年中国在亚洲的地位.社会进步指数包括七个方面的19个指标,用非加权和加权两种方法分别计算各国的社会进步指数.在计算加权的社会进步指数中采用了主分量分析方法来确定权数,该方法避免了人们的主观因素,提高了计算的准确度.非加权方法的计算结果表明,中国在亚洲的地位1980年为第13位,1986年为第12位;加权方法的计算结果1980年为第16位,1986年为第12位.

What is introduced in this paper is focused upon the microcomputerized realization of a newly-designed algorithm and a creatively-compiled program.With which the planar four-bat linkage synthesis can be accomplished by the generalized mechani,mtransfer method. With the application of both the generalized mechanism transfer method and the presented algorithm,the three basic problems pertaining to the kinematic synthesis of the planar linkage can be unified methodically. Among such problems are the precise and...

What is introduced in this paper is focused upon the microcomputerized realization of a newly-designed algorithm and a creatively-compiled program.With which the planar four-bat linkage synthesis can be accomplished by the generalized mechani,mtransfer method. With the application of both the generalized mechanism transfer method and the presented algorithm,the three basic problems pertaining to the kinematic synthesis of the planar linkage can be unified methodically. Among such problems are the precise and the approximate synthesis,the weighted and the non-weighted average in a sense of the least square devation. Scveral examples are given and the results indicate that it is not only convenient and exact.but also practical to make solutions by combining the generalized mechanism transfer method with the method derived by the author.

介绍了广义四杆机构综合法综合平面四连杆机构在微型计算机上算法与程序的实现。用该法,可获得平面连杆机构运动综合的三类基本问题、精确综合与近似综合、最小二乘偏差意义下加权平均与非加权平均三者方法上的统一。文中,同时用各种实例说明了广义机构综合法求解的方便性、正确性与实用性。

 
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