摘要
数据分析方法是数学建模中常用的方法,面对大量数据的各种处理,要涉及许多多元统计分析知识,是数学建模的难点。许多数学软件都提供了强大的数据处理功能,将其引入数学建模的教学中,能大大提高学生分析处理数据的能力。本文通过用数学软件的聚类分析与时间序列分析功能建立中原城市群的谱系聚类模型与货运公司申请批复的时间序列模型两个实例,说明数学软件的数据分析功能在数学建模中的应用。
The data analysis methods are common used method in mathematical modeling, The various processing of a large amount data involves a great deal of knowledge about multivariate statistical analysis that is difficult in mathematical modeling. Some mathematical softwares provide the powerful function for data processing. By introducing such softwares into the teaching of mathematical modeling, the students' ability of analyzing and processing data can be improved. Two examples of modeling are presented in this paper, which are: 1) Tile Spectral System Clustering Model of the Zhongyuan City. Group is constructed by using clustering analysis function; 2) The Time-Series Model for the Freight Co. in applying and waiting for authorization. Both practical instances show that the application of the data analysis function of mathematical softwares on mathematical modeling.
出处
《工程数学学报》
CSCD
北大核心
2005年第8期77-80,共4页
Chinese Journal of Engineering Mathematics
关键词
数据分析
数学软件
聚类分析
时间序列分析
clata analysis
mathematical software
clustering analysis
time-series analysis