Population Prediction Research in Zhejiang Province Based on BP Neural Network

DOI

10.2991/snce-18.2018.143How to use a DOI?

Keywords

BP neural network; Prediction; Population

Abstract

The population growth problem has always been a key issue. So, a scientific and accurate forecast of the population is necessary. The population data are actually time series. The previous data has a non-linear relevance to the subsequent data. In this paper, a system model based on BP algorithm for forecast population growth in zhejiang province. This paper has collected the related population data in zhejiang province form statistics bureau of zhejiang province during the period of 1978 to 2016 (39 years). The simulation result was shown that the BP algorithm was effective and feasible in population prediction, and can achieve high accuracy.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wanle Chi
PY  - 2018/05
DA  - 2018/05
TI  - Population Prediction Research in Zhejiang Province Based on BP Neural Network
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 702
EP  - 706
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.143
DO  - 10.2991/snce-18.2018.143
ID  - Chi2018/05
ER  -