样本数量 meaning in English
sample quantity
sample size
Examples
- In course of training the network , the structure of the network has been analysed . using the nonlinear theory , the node of the hidden layer is ascertained . by comparing this method is very efficient
( 5 )在网络训练过程中,对神经网络结构进行了分析,建立了计算输出和理想输出关系非线性方程组,依据非线性方程理论阐述设计变量、样本数量和输出层单元数量的关系,确定了隐层神经元的数量,经比较该方法很有效。 - In chapter 5 the distributed cfar detection is studied when lds are correlated . due to the correlation of local decisions is not known , empirical estimation is adopt to resolve this problem , the relationship of the training sample size and the estimated confidence is analyzed
对局部采用硬判决的情况,深入研究了传统的分析方法,利用经验估计解决了局部观测相关系数未知时存在的困难,分析了系统判决精度与估计样本数量的关系。 - The appearance and the development of workflow technique satisfied the requirement of the bpr and the advanced strategic to be implemented , remarkably enhanced the efficiency of the flow management and impelled the development of the process reengineering . the workflow technology is the core technology to
将多标准满意度分析模型( musa )用于企业bpr中工作流技术应用效果的综合评价,可以用较少的样本数量来达到评价的满意效果,具有一定的理论价值。 - Instead of dealing with the whole sample set all together , we first divide it into several moderate sets , or patterns , based on the industry and possession attributions of the enterprises concerned . when a pattern becomes a reasonable sample sub - set , we develop an ann model for it . in this work , we have constructed 15 individual ann structures for all the patterns we have got
由于研究的企业涵盖面很广,有轻工业、重工业、贸易业、农业等行业,因此不能对所有的样本统一处理,我们按照企业行业和所有制的不同,并考虑样本数量上的要求,使用合理的方法将企业划分为不同的模式,同时,针对不同的模式建立相应的神经网络模型,实验结果表明划分模式的神经网络提高了信用评级的准确性。 - Secondly , the identification algorithms of road traffic status are studied including methods of determining floating car sample sizes which are based on “ the relationship between floating car sample sizes and accuracy of traffic information detection ” and “ the relationship between floating car sample sizes and requirement of road network information detection ” . the road traffic identification algorithm grounded on the journey - time is analyzed . besides , road traffic identification algorithm based on average speed is put forward and the validity of these two methods is analyzed in the thesis
主要工作包括:从“浮动车数量与交通流信息检测准确性关系” 、 “浮动车样本数量与路网全方位信息检测需求关系”两方面对浮动车数量确定方法进行研究,给出了算法模型;同时,分析了基于行程时间的道路交通判别算法,提出了基于指数平滑法的平均瞬时速度道路交通判别算法,并对两种算法的有效性进行分析比较。