Using MATLAB to Make Population Prediction Analysis
DOI:
https://doi.org/10.54097/j6wtx046Keywords:
Fitting interpolation total population forecast Birth rate forecast death rate forecast.Abstract
Through the curve fitting and interpolation function of matlab software, based on the demographic data in the Statistical Yearbook of Hunan Province from 2000 to 2020, the total population, birth rate and death rate of Hunan Province were predicted, and the data and images were obtained, showing intuitive results. This study uses the two forecasting methods to obtain images and compare them to enrich the population forecasting methods, which has great theoretical and research significance for the population development trend of the future society and the formulation of correct and reasonable population planning schemes.
Downloads
References
Fu, Y. (2010) Applied research based on the matlab curve fitting. Computer Method, 56-58.
Yi, L. (2008) Population prediction method based on matlab analysis. Population Forecast, 66-71
Chen, X., Xiao, L. (2020) The improvement of logistic model with Chinese population forecast. Population Forecast, 239-243.
Allen, L.J., Allen, E.J. (2003) A comparison of three different stochastic population models with regard to persistence time. Theor Popul Biol, 64(4):439-49.
Wang, Z., Dang, Y., Wang, Y. (2007) A new grey Verhulst model and its application. IEEE International Conference on Grey Systems and Intelligent Services, 571-574
Leslie. (1945) Scenario Analysis in Population Projection. International Institute for Applied Systems Analysis, 08:543-545.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Academic Journal of Science and Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.