Research on China's Birth Rate based on BP Neural Network

Authors

  • Jinyu You
  • Hongzhen Chen
  • Cheng Chen
  • Hanchun Yang

DOI:

https://doi.org/10.62051/rpty0f31

Keywords:

Birth Rate; Backward Stepwise Regression Model; BP Neural Network.

Abstract

In terms of the impact of population age structure on birth rate, some studies have shown that compared to the reference category of respondents aged 30-34, young respondents are less likely to not have children, while older recipients have a more common unwillingness to have children; Women of childbearing age consider their own physical condition and reproductive safety factors. The older their parents are, the lower their willingness to have children, and after having one child, they may not be willing to have a second child; Moreover, if there are more elderly people in the family and the social pension security system and system are not perfect, the willingness of the family to have more children will decrease.

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References

Chen Wei, Li Min. Long-term population consequences of high sex ratio at birth in China [J]. Population and Development, 2010,16(04):33-37+52.

Hu Pengcheng. Study on the impact of population migration on birth rate in the process of urbanization [D]. North China electric power university (Beijing), 2020. The DOI: 10.27140 /, dc nki. Ghbbu. 2020.000902.

Becker, G. Demographic and Economic Change in Develop ed Countries (Princeton: Prin ceton University Press, 1960).

Xu Hong. Prediction of employment situation of college graduates in China based on BP neural network [J]. Electronic Technology and Software Engineering,2020(15):197-198.

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Published

12-10-2023

How to Cite

You, J. (2023) “Research on China’s Birth Rate based on BP Neural Network”, Transactions on Computer Science and Intelligent Systems Research, 1, pp. 159–168. doi:10.62051/rpty0f31.