自动校正、质量稳定、不收缩、便于后道正确度。
Automatic alignment, stable in quality, no shrinkage, easy obtaining correctness.
管理人员不会用一个月的薪水为赌注来赌特别详细的计划的正确度。
Managers wouldn't bet a month's salary on the accuracy of a highly detailed plan.
音调和时间偏差的最大值是允许按照正确度而不是精度来匹配音调序列的临界值。
Maximum tone and temporal deviation is critical to allowing the matching of your tonal sequences with accuracy, not precision.
整体结果证实了在心理变态分数和辨认受害人的正确度之间有很强的正相关关系。
Overall results confirmed a strong positive correlation between psychopathy scores and accuracy of victim identification.
本方法正确度高于任何配料方法，运算简单快捷，易被水泥技术人员所掌握。
The accuracy of this method is higher than that of any other method, its calculation is simple and expedient, and it is easily mastered by cement technicians.
方法用RELA 2009样本和有证参考物质对两种方法进行测量正确度验证；
Methods The measurement accuracy of two different methods was verified with the samples of RELA 2009 and certified reference material.
单纯使用马尔可夫模型平均分类正确度为84.33％，改进后平均分类正确度为85.17％。
The average distinguish rate of using the purely Markov Model was 84.33%, however the improved system had the rate of 85.17%.
另外，作者提出了基于分类正确度的粗糙集模型，该模型已用于作者研制的数据挖掘方法MIE-RS上。
The thesis also examines the rough set model based on classification accuracy. The MIE-RS data mining approach given later is based on the model.
通过分类正确度有效处理了决策表的不一致性，采用启发式算法，挖掘出满足给定精确度的最简产生式规则知识。
We deal with the inconsistency through classification accuracy, using heuristic algorithms we can get a set of minimal productive rules satisfying the given classification accuracy.
采用信号四阶和六阶统计量提取信号特征，使用新设计的误差函数训练RBF神经网络，使得识别的效率和正确度得到了明显的改善。
The forth-order and sixth-order cumulants of received signal are adopted for features extraction while RBF neural networks with a new designed training cost function being used for classifier.
粗糙集理论是一种新的数据挖掘算法，文章以属性依赖重要性作为启发信息提出了一种新的属性约简算法，且加入了一定的分类正确度。
In this paper, we propose a new attributes reduction algorithm based on the significance of attribute dependencies as heuristic information and add a certain variable precision.
在对复杂数据的处理过程中，“部分重复性”理论通过建立“中心函数”、“浮动域”和“正确度”指标，提供了一种分类优劣的评价标准。
In processing the software data, the theory of partial repeatability offers a criteria for evaluating different classifier by building "center function", "fluctuation zone" and "correctness factor".
在对复杂数据的处理过程中，“部分重复性”理论通过建立“中心函数”、“浮动域”和“正确度”指标，提供了一种分类优劣的评价标准。
In processing the software data, the theory of partial repeatability offers a criteria for evaluating different classifier by building "center function", "fluctuation zone" and "correctness factor".
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