In the past , the predicted results produced by neural network models were often evaluated by using the relative error has been widely applied to this problem 过去,对神经网络预测结果的评价广泛采用相对误差方法。对于有随机因素影响的样本数据,该方法已经不再适用。
Then , stat - comments . pl reads in either the text input , or the sample data provided at the end of the script , and checks to see if comments were obtained at all 然后, stat - comments . pl读入文本输入或脚本末尾处提供的样本数据,并进行检查以判断注释是否被完全获取。将
Because the sample dataset used by the test package is always the same size , using the sample subset also makes it easier to identify performance problems in the package 因为测试包使用的样本数据集始终是同一大小,所以使用样本子集还可以轻松地识别出包中的性能问题。
Analyzed the algorithm of the sample data processing within frequency domain according to the given protocol under the given condition , as the result the fault information is extracted 论述了检测系统的总体规划与设计分析在特定条件下,根据样本数据的功率谱,提取故障特征
At first , the population sample data are split into subpopulation data sets over the whole test duration by using the posterior belonging probability of each observation to each subpopulation 利用对每个子总体的每次观察的后验概率将整个检验期间的总体样本数据分成子总体数据集。
Mining classification rules is a procedure to construct a classifier through studying the training dataset . it is a very important part of data mining and knowledge discovery 分类规则挖掘则是通过对训练样本数据集的学习构造分类规则的过程,是数据挖掘、知识发现的一个重要方面。
Component stock index of shenzhen stock market is taken as sample and the practical analysis is based on the theories of time series analysis and nonlinear complicated system 本文以深圳股票市场成分指数为样本数据,研究这一类企业或与企业相关的时序性经济数据的处理、分析和预测方法。
This article applies the framework by baumol , panzar and willig to analyse the data from the higher education institutions ( heis ) that are directly administrated by ministry of education in china 本文运用鲍莫尔等人提供的多产出组织分析框架,对教育部直属高校的样本数据进行了实证分析。
This paper makes an empirical analysis on the main factors influencing the capital structure of listed companies according to the sample data of 84 listed companies during 2002 ~ 2004 摘要本文以江苏省2002 ~ 2004年期间上市的84家公司为样本数据,对影响上市公司资本结构的主要因素进行实证分析。
By combining the operators ? experience and the sample data , this paper presented how to build the model of customer fraudulent with bayesian network based on the data mining 将电信业务人员的经验知识和样本数据相结合,在数据挖掘技术的基础上,提出了一种基于贝叶斯网络的电信话费欺诈建模方法。