Abstract

In this study, the Marquardt method (Yuan and Sun, 1997) which can solve known nonlinear function estimation problem effectively is applied and a predictive analysis is built based on the analysis of the nonlinear relationship cases between China's grain production statistical data of population, production and consumption from 1978 to 2010 and through the example to show that the method is practical and feasible with high curve fitting degree.

Keywords:

Application research, consumption and population, Marquardt optimization algorithm, predictive analysis model, relationship between china grain production,

References

1. Dong, H.Q., 2000. China's Food Market: Volatility and Regulation. Chinese Prices Press, China.
   
2. Jing, H., L.J. Li and Z.M. Wang, 2004. Discussion on China food security index. China's Agr. Sci. Technol. Leader, 4: 10-16.
   
3. Liu, X.J., C.P. Li and C. Hou, 2006. Analysis and prediction of China's food demand. Financ. Teach. Res., 3: 34.
   
4. Lu, C.F., H.X. Gao and W.H. Ye, 1988. Application and program of environmental statistics. M.A. Thesis, Higher Education Press, Beijing.
   
5. Shi, C.L. and Y.P. Jin, 2013. The changes of China food supply and demand condition: 1978-2010. Rev. Econ. Res., Vol. 56.
   
6. Yuan, Y.X. and W.Y. Sun, 1997. Optimization Theory and Methods. Science Press, Beijing, China.
   

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.