Gray markov using on population forecast

International Journal of Mathematics Trends and Technology (IJMTT)
© 2017 by IJMTT Journal
Volume-49 Number-5
Year of Publication : 2017
Authors : Wu Haijian, Xing Xiao


Wu Haijian, Xing Xiao "Gray markov using on population forecast", International Journal of Mathematics Trends and Technology (IJMTT). V49(5):274-277 September 2017. ISSN:2231-5373. Published by Seventh Sense Research Group.

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.

[1] Paul peng wang. The optimal combination of the Chinese population forecast model [D]. North China electric power university. 2009
[2] BianHuanQing, Xia Letian. Based on the gray markov chain model of population prediction [J]. The practice and understanding of mathematics, 2012, cutflower production potentials: 127-132.
[3] Shan Chuanpeng. Based on the grey markov model application in Jiangxi province population forecast [J]. Science and technology plaza, 2015, 95:95-100.
[4] Li Keshao, Li Zhiwei, Zhao Leijie. Combining the theory of markov optimization of GM (1, 1) prediction model [J]. Journal of surveying and mapping science, 2016, preceding: 1-7.

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