样本分配的英文

• allocation of sample

• "样本"英文翻译    sample book; specimen; advan ...
• "分配"英文翻译    distribution; allocation; as ...
• "大样本分布" 英文翻译 :    large sample distribution; largesample distributionn
• "大样本分析" 英文翻译 :    large sample analysis
• "双样本分析" 英文翻译 :    two-sample analysis
• "样本分布" 英文翻译 :    sample distribution; sampling distribution
• "样本分数" 英文翻译 :    sampling fraction
• "样本分位数" 英文翻译 :    sample fractile
• "样本分析" 英文翻译 :    analysis of sample
• "固定样本分析" 英文翻译 :    panel analysis
• "有限样本分布" 英文翻译 :    finite sample distribution
• "成本分配" 英文翻译 :    absorption of costs; allocation of costs; cost allocation; cost apportionment; cost distribution; costs apportionments; costs reapportionment; ocst allocation
• "成本分配率" 英文翻译 :    cost allocation rate
• "基本分配" 英文翻译 :    basic distribution
• "资本分配" 英文翻译 :    capital allocation; capital distribution; capital rationing
• "资本分配线" 英文翻译 :    capital allocation line
• "成本分摊,成本分配" 英文翻译 :    cost allocation; cost distribution
• "成本分配基础" 英文翻译 :    cost allocation base; cost-allocation base
• "成本分配原则" 英文翻译 :    allocation of cost principle; principle of allocation of costs
• "分配成本分摊" 英文翻译 :    distribution costs allocation
• "分配成本分析" 英文翻译 :    distribution costs analysis
• "共同成本分配" 英文翻译 :    allocation of common costs
• "间接成本分配" 英文翻译 :    indirect cost allocation; overhead costs distribution
• "面本分配原则" 英文翻译 :    allocation of costs principle
• "期间成本分配" 英文翻译 :    periodic allocation of cost

• The results can be affected not only by the changes on the distribution of samples , but also by the changes on the time and method of training . this is different with econometric models
  当具体的样本分配发生变化时，往往预测结果也会发生一定的变化，同时训练的时间和方法也会影响到人工神经网络预测的结果。
• Examples studies show that the strategy can lead to a reasonable test set which can increase the veracity of estimate . this strategy can be applied easily and improve the effect of al application observably
  实例证明该策略效果明显，能够很大程度上降低样本分配的盲目性，能显著地改善神经网络技术应用效果，具有重要科研价值。
• A main method to estimate the effect of neural network training depends on the forecast precision of the test samples , but there is no a proper method to select test samples from the sample set
  研究内容主要是神经网络训练过程中样本分配问题。网络训练效果的评价依赖于样本分配方式，而目前进行样本分配主要是依靠经验和技巧的方法存在很大随机性。
• For instance , artificial neural network uses sensitivity analysis to choose input variables , for it has n ' t a much effective method as the granger causality test in econometrics . another example is that it has n ' t an accepted standard on the distribution of samples
  如，它在输入变量的选取上，是通过敏感性分析进行逐个试验来筛选的，而没有和像时间序列理论的那样较完善的检验方法；在确定样本分配上也没有系统而权威的标准。