A Hybrid Deep Learning Model for Air Quality Prediction Based on the Time–Frequency Domain Relationship

Deep learning models have been widely used in time-series numerical prediction of atmospheric environmental quality. The fundamental feature of this application is to discover the correlation between influencing factors and target parameters through a deep network structure. These relationships in o...

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Bibliographic Details
Main Authors: Rui Xu, Deke Wang, Jian Li, Hang Wan, Shiming Shen, Xin Guo
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/14/2/405