Demographic forecast modelling using SSA-XGBoost for smart population management based on multi-sources data.
Population prediction could provide effective data support for social and economic planning and decision-making, especially for the sub-national population forecasting accurately. In addition to realizing efficient smart population management, this research focuses primarily on the combination model...
Saved in:
| Main Authors: | Jin Wang, Shihan Ma, Qing Lv, Qiang Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0320298 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Demographic forecast modelling using SSA-XGBoost for smart population management based on multi-sources data
by: Jin Wang, et al.
Published: (2025-01-01) -
A rapid detection method for egg quality using CARS and SSA⁃XGBoost improved by combining hyperspectral analysis
by: WANG Linyi, et al.
Published: (2024-08-01) -
Modeling and forecasting of TEC using subspace-based SSA-LRF-ANN model
by: J.R.K. Kumar Dabbakuti, et al.
Published: (2025-07-01) -
Forecasting and decision making of firm’s financial indicators based on the SSA-MLP-BPNN model
by: Xin Xu
Published: (2025-12-01) -
A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting
by: Jing Liu, et al.
Published: (2024-12-01)