A Feature Extraction and Classification Method to Forecast the PM<sub>2.5</sub> Variation Trend Using Candlestick and Visual Geometry Group Model

A Feature Extraction and Classification Method to Forecast the PM<sub>2.5</sub> Variation Trend Using Candlestick and Visual Geometry Group Model

Currently, the continuous change prediction of PM<sub>2.5</sub> concentration is an air pollution research hotspot. Combining physical methods and deep learning models to divide the pollution process of PM<sub>2.5</sub> into effective multiple types is necessary to achieve a...

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Bibliographic Details
Main Authors: Rui Xu, Xiaoming Liu, Hang Wan, Xipeng Pan, Jian Li
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Atmosphere
Subjects:
candlestick chart
PM<sub>2.5</sub>
VGG
feature extraction
Online Access:https://www.mdpi.com/2073-4433/12/5/570

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