Combination forecasting model based on total demand forecasting of highway construction in Guangdong Province
To forecasting a reasonable size of the future road network in Guangdong Province, this paper respectively use multivariate linear regression prediction method and the gray prediction method to predict. Then make combination forecasting in accordance with the smallest error sum of squares principles. Ultimately determine the future total demand for highway construction of Guangdong Province. Through the error analysis, the results show that the combination of forecasting methods can effectively reduce errors and improve accuracy.
highway construction total demand multivariate linear regression gray prediction method combination forecasting
Lingshu Zhong
School of Electronic and Information Engineering South China University of Technology, SCUT Guangzhou, China
国际会议
三峡
英文
1430-1432
2012-05-18(万方平台首次上网日期,不代表论文的发表时间)