Title :
Predicting transportation engineering financial investment by an improved GM(1,1) model
Author :
Hu Hongliang ; Cui Jie ; Shan Daming ; Ma Hongyan ; Gu Lin
Author_Institution :
Fac. of Econ. & Manage., Huai Yin Inst. of Technol., Huai´an, China
Abstract :
In the process of transportation construction, the developping trend of government financial investment to transportation engineering is a key that enterprises need to grasp accurately. On the basis of the existing study results of GM(1,1) model, this paper presents a novel procedure unifying improved initial condition value and optimized background value of GM(1,1) model, constructs a novel GM(1,1), and compares original GM(1,1) model with this novel GM(1,1) model in modeling precision through an example about the prediction of government transportation engineering investment. The findings indicate the superiority of this novel GM(1,1) model in forecasting modeling.
Keywords :
financial management; forecasting theory; government policies; grey systems; investment; optimisation; transportation; GM(1,1) model; forecasting modeling precision; government transportation engineering financial investment; improved initial condition value; optimized background value; transportation construction; Accuracy; Biological system modeling; Government; Investment; Modeling; Predictive models; Transportation; 1); Transportation engineering; gm(1; grey forecasting model; predictive precision;
Conference_Titel :
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4673-5247-5
DOI :
10.1109/GSIS.2013.6714749