Study on the Prediction Control Model Based on GM(1, 1)

Abstract:

With the development and application of prediction theory in the fields of engineering and control, the grey prediction model is introduced. Real estate can be regarded as a grey system in the engineering circle, and housing price is an uncertain indicator which is affected by multiple factors such as policy, market, and economy. In this paper, we study the prediction control problem of housing price, and present a prediction control model of housing price based on GM(1, 1). From the house price data of Huanggang city in recent five years, we use this prediction control model to predict the development trend of housing price in the next five years. We try to provide an effective reference for housing price control.

• Periodical: Applied Mechanics and Materials (Volumes 631-632)
• Pages: 728-731
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.631-632.728
• Online since: September 2014
• Authors: Zhong Cheng Zhang*
• Keywords: GM(1,1) Model, Housing Price, Prediction Control Model

References

[1] H.B. Liu, Z.Q. Ku: Mathematics Modeling and Experiment (Science Press, Beijing, 2008).

[2] S.G. Wang: An Introduction to Linear Model (Science Press, Beijing, 2004).

[3] X.T. Zhang: Basic Econometrics (Nankai University Press, Tianjing, 2006).

[4] J.G. Wang, W.B. Hu: Systems Engineering Vol. 13 (1995), pp.55-57.

[5] H.R. Zhang: China's Real Estate Business Books (China Prices Press, Beijing, 1993).

[6] S. Yang: Real Estate and National Economy (China Building Industry Press, 2002).

[7] J.R. Xie: Property Economics (China Renmin University Press, 2002).

[8] J. Shao: Basic Sciences Journal of Textile Universities Vol. 22 (2009), pp.370-374.

[9] F. Ji: China Investment Vol. 1 (2010), pp.32-33.