Air quality prediction based on factor analysis combined with Transformer and CNN-BILSTM-ATTENTION models

Air quality prediction based on factor analysis combined with Transformer and CNN-BILSTM-ATTENTION models

Abstract This study presents an innovative air quality prediction framework that integrates factor analysis with deep learning models for precise prediction of original variables. Using data from Beijing’s Tiantan station, factor analysis was applied to reduce dimensionality. We embed the factor sco...

Full description

Saved in:
Bibliographic Details
Main Authors: Shuyuan Liu, Yang Hu
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Transformer
Factor scores
Discrete wavelet transform
CNN-BILSTM-ATTENTION
Online Access:https://doi.org/10.1038/s41598-025-03780-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items