Novel hybrid data-driven modeling based on feature space reconstruction and multihead self-attention gated recurrent unit: applied to PM2.5 concentrations prediction

Novel hybrid data-driven modeling based on feature space reconstruction and multihead self-attention gated recurrent unit: applied to PM2.5 concentrations prediction

Abstract In response to the problem of neglecting the periodic and global characteristics of sequence data when predicting PM2.5 concentrations via machine learning models, a PM2.5 concentrations prediction model based on feature space reconstruction and multihead self-attention gated recurrent unit...

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Bibliographic Details
Main Authors: Xiaoxin Yue, Yulong Bai, Qinghe Yu, Lin Ding, Wei Song, Wenhui Liu, Huhu Ren, Qi Song
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Machine learning
Feature space reconstruction
Multihead Self-attention
Gated recurrent unit
PM2.5 concentration prediction
Online Access:https://doi.org/10.1038/s41598-025-00911-9
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