重庆理工大学学报（自然科学版）2017，Vol.31Issue(11)：230-234,240,6.DOI:10.3969/j.issn.1674-8425(z).2017.11.035
基于灰色回归组合模型的铁路客运量预测研究
Forecast of Railway Passenger Traffic Based on Grey Linear Regression Combined Model
摘要
Abstract
Railway passenger traffic is an important index to measure the demand of transportation in our country.Scientific forecast of railway passenger traffic is an important basis for the development of transportation development planning.In order to accurately predict the passenger capacity of our country,this paper establishes the grey linear regression combined model for railway passenger traffic,based on the gray model and the linear regression model,to which corresponding weight is given according to the gray correlation degree,and select the of 2006-2015 railway passenger traffic to forecasting our Railway Passenger Traffic.The results show that the combined model overcomes the prediction limitations of the single model and has a wide range of application,which can further improve the prediction accuracy and can be used to predict the railway passenger traffic.关键词
灰色模型/线性回归模型/组合模型/铁路客运量Key words
grey model/linear regression model/combined model/railway passenger traffic分类
数学引用本文复制引用
王彬..基于灰色回归组合模型的铁路客运量预测研究[J].重庆理工大学学报（自然科学版）,2017,31(11):230-234,240,6.基金项目
天津市应用基础及前沿技术研究计划资助项目“基于感知过程的复杂系统信息融合理论与应用研究”(10JCYBJC07300) （10JCYBJC07300）
