Research of Population Prediction Based on GA-BP Neural Network
Population is a complicated social issue, and an accurate population forecast is a focal point of social development plan of the nation, especially for formulating family planning policies. This paper on the one hand discusses the principle, structure and implementation method of BP neural network improved by the genetic algorithm, and on the other hand, by the use of the population data from 1982 to 2010 with a mean assay error of only 0.0494%, applies the improved model to predict the total population in 2011 to 2012, confirming the effectiveness of national control in population rise.
NETL
NSTL
万方数据
