The development of integrated simulation model for prediction

We used both linear regression models (RM) and grey model (GM) to predict the gross domestic product (GDP) of Shaanxi province for last few years. Then we proposed a new combination grey model (CGM) based on RM and GM to predict GDP of Shaanxi province again. The simulation results from CGM are much...

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Bibliographic Details
Main Authors: Juanfei Li, Pengfei Li, Lin Liu
Format: Conference Proceeding
Language:English
Subjects:
Combination Grey Model
Economic indicators
Electronic mail
Equations
Grey Model
Information management
Investments
Least Squared Criterion
Mathematical model
Predictive models
Regression analysis
Testing
User-generated content
Weight-coefficient
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Summary:We used both linear regression models (RM) and grey model (GM) to predict the gross domestic product (GDP) of Shaanxi province for last few years. Then we proposed a new combination grey model (CGM) based on RM and GM to predict GDP of Shaanxi province again. The simulation results from CGM are much more precise than those from simple models (RM and GM). The whole calculation process can be conducted by MATLAB computer software.
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2009.5194870