Gray markov using on population forecast

Wu Haijian; Xing Xiao

doi:https://doi.org/10.14445/22315373/IJMTT-V49P542

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 49 | Number 5 | Year 2017 | Article Id. IJMTT-V49P542 | DOI : https://doi.org/10.14445/22315373/IJMTT-V49P542

Gray markov using on population forecast

Wu Haijian, Xing Xiao

Citation :

Wu Haijian, Xing Xiao, "Gray markov using on population forecast," International Journal of Mathematics Trends and Technology (IJMTT), vol. 49, no. 5, pp. 274-277, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V49P542

Abstract

The population problem is one of the important indices for a regional sustainable development, the scale of population has a profound impact which is reasonable for social development of a region There are many population prediction methods, combining the grey model and markov process to predict can largely reduce the prediction error. According to Beijing at the end of the calendar year population data, caculating more accurately population of 2015, verify the validity of the method, drawing the conclusion that Beijing's population would continue to grow in the future.

Keywords

GM (1, 1); Markov; population forecast.

References

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