Research Article | OPEN ACCESS
Application Study on the Prediction of Grain Output in Huainan by Grey GM (1, 1) Model
Huaxi Chen
Department of Mathematics and Physics, Bengbu College, Bengbu, Anhui 233030,
P.R. China, Tel.: 15056365266
Advance Journal of Food Science and Technology 2016 2:95-98
Received: April 14, 2015 | Accepted: May 10, 2015 | Published: January 15, 2016
Abstract
In order to predict the future annual grain production in Huainan scientifically and accurately, according to the monotone increasing characteristics of the grain output in Huainan from 1995-2010, in this study, we predict the grain output from 2011 to 2014 by using the grey GM (1, 1) model and compare the prediction results with the real value, we find that the prediction has a good effect and the errors are within the scope of the permission. It is very significant for Huainan municipal government to make the corresponding economic development program, to preserve the social stability and to boost the living standards in Huainan.
Keywords:
Forecast, grain yield, grey model,
References
-
Chen, Y.Q. and P.Y. Zhang, 2005. Regional patterns changes of chinese grain production and response of commodity grain base in northeast China [J]. Scien. Geograp. Sinica, 25(5): 513-520.
-
Deng, J.L., 1987. Grey Forecasting Decision making [M]. Huazhong University Publishing House, Wuhan.
-
Wang, Q.P., 2002. Application of BPNN for forecast of Chinese grain output [J]. Forecasting, (3): 79-80.
-
Xie, R.J., H. Qiu and A.G. Wang, 2013. Application of grey model in the prediction of GDP in Yuncheng City [J]. J. Yuncheng Univ., 31(5): 32-34.
-
Yin, Z.C., 2008. Forecast of grain output in China with rough set theory [J]. Stat. Decis., (6): 46-48.
-
Zhou, Y.S., Y.H. Xiao and R.S. Huang, 2011. Forecast for the grain yield of Guangxi based on the multiple linear regression model [J]. J. Southern Agric., 42(9): 1165-1167.
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
![](http://www.maxwellsci.com/images/AJFST-maxw.jpg) |
ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
![Submit Manuscript](../images/sub.jpg) |
Information |
|
|
|
Sales & Services |
|
|
|