基于灰色关联理论与多元线性回归模型的铁路客运量预测

The railway passenger transport capacity forecast based on multivariate linear regression model and gray relational analysis

对铁路客运量进行定性分析,采用灰色理论中的灰色关联分析方法,对影响铁路客运量的因素进行关联分析,挑选出关联性最强的因素,建立铁路客运量与影响因素之间的多元回归预测模型,通过实例证明,该预测方法简单可行,预测精度较高。

The qualitative analysis of railway passenger transport capacity is made by using the gray theory --the gray relational analysis method for the influential factors. The most relevant factors are chozen to establish a multiple linear regression prediction model of railway passenger transport capacity. The practice shows the prediction method is simple and feasible, with higher accuracy.