DocumentCode
2821189
Title
Combined Model for Forecasting Based on Positive Weights and Its Application in the Economy
Author
Shen, Cungen ; Zhang, Wenzhen
Author_Institution
Sch. of Bus., Hohai Univ., Nanjing, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
The combined forecasting and the way of improving such forecasting methodology through optimized combination and recursion is the focus of this paper; the GMDH is applied to select variables relevant to economic forecasting models before establishing a single forecasting model such as regression model and neural network model; and the final step is to establish a combined forecasting model through positive weights by using the time series model established based on the GMDH.
Keywords
economic forecasting; time series; economic forecasting model; forecasting methodology; neural network model; regression model; time series model; Artificial neural networks; Economic forecasting; Economic indicators; Neural networks; Optimization methods; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5363587
Filename
5363587
Link To Document