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排名情况的英文

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"排名情况"怎么读用"排名情况"造句

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  • standing list

例句与用法

  • The following are provisional rankings for the 2005 / 2006 season . they were issued after the british open in november , 2004
    以下是2005 / 2006赛季目前的排名情况。该排名是在2004年11月召开的“英国公开赛”之后发布的。
  • The analysis result gives the integrated rank of financing performance of listed company , which provides the basis of decision for investors
    分析结果显示了上市公司财务绩效的综合排名情况,为投资者提供了投资决策依据。
  • According to worldwide university rankings released by various research organizations and magazines , the university of tokyo ranks between 12th and 19th . iht asahi : february 26 , 2007
    根据世界各组织或杂志公布的世界知名大学排名情况,东大的排名位于第13至19位。
  • Second , for ads that do surpass this quality score threshold , we use the actual cpc rather than the maximum cpc when determining the ad position for these spots
    其次,对于质量得分确实高于最低值的广告,我们采用实际每次点击费用而非最高每次点击费用来决定这些位置的广告排名情况
  • We also adopt topsis method to analyze the total , the input , and the output of the scientific and technical competency of 31 provinces in china and get some valuable results
    接著选择中国三十一个省级行政区划的科技指标相关数据运用topsis法进行实证分析,得到了各省总量科技能力、总量科技投入能力、总量科技产出能力的排名情况,并从中获得了一些有价值的结论。
  • First , the basic theory of the competitiveness is analyzed , evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up . second , because the data are too many and computing time is too long , the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model , the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind . evaluating the competitiveness using single model can produce white noise , so combinational models which concluding neural network , fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test
    本文首先分析科技竞争力的基本理论,并根据以往研究科技竞争力文献,建立包含绝对指标和相对指标的评价科技竞争力评价指标体系,其次,针对评价福建省科技竞争力在全国范围内的排名情况数据较多,计算时间较长的具体情况,利用模糊神经网络模型对全国30个省市自治区科技竞争力水平进行聚类分析,将科技竞争力水平接近的地区聚为一类,得出科技竞争力水平相近地区情况,而后,针对已有文献科技竞争力评价只是利用单一模型可能产生噪声,影响评价结果,并且主观性较强的缺点,本文将神经网络、模糊数学、遗传算法等智能算法组合,利用组合评价模型对福建省和与福建省同在一类的其它地区的科技竞争力水平进行横向、纵向评价,得出福建省在全国范围内的科技竞争力水平排名。
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