Applications of Difference Equation in Population Forecasting Model

Chun Miao Huang; Wei Ping Wang

doi:10.4028/www.scientific.net/AMR.1079-1080.664

Paper Titles

An Applicable Platform for Web Interactive Content Hapticization
p.642

An Improved Particle Filtering Algorithm Based on Mean Shift Algorithm for Infrared Target Tracking
p.650

An Interpolation-Based Method for Multidimensional Extrapolation
p.654

Aperiodic Solution Mathematical Model for Pest Management and Optimization Chemical Control
p.660

Applications of Difference Equation in Population Forecasting Model
p.664

Big Data Based on Fuzzy Grey Information System Security Intrusion Detection Research
p.668

CNC Online Monitoring System Based on Internet of Things
p.672

Management of Basic Mathematic Concepts for Cognition Diagnosis
p.679

Computer Network Management Technology and its Application Glimpse
p.683

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1079-1080Applications of Difference Equation in Population...

Applications of Difference Equation in Population Forecasting Model

Abstract:

This article gets thepopulation data based on China Population Statistics Yearbook ,and establishes a model for forecasting thegrowth of population grouped by ages. First, a difference equation model invector form is established for urban area, town and rural arearespectively. In equation (I), matrix is determined byfertility rate and survival rate of urban area, townand rural area respectively. The short-term population size predicted from thismodel has calculated the gross population of each year during 2002~2020. The 19data we got were used to generate a function between population size y (hundredmillion) and time x (year) by polynomial fitting : , and the max of this function is y = 1.47121 billion when x= 20, which means that the Chinese total population will peak at 1, 471, 210,000 in 2021.