A Hybrid Model for Air Quality Prediction Based on Data Decomposition

A Hybrid Model for Air Quality Prediction Based on Data Decomposition

Accurate and reliable air quality predictions are critical to the ecological environment and public health. For the traditional model fails to make full use of the high and low frequency information obtained after wavelet decomposition, which easily leads to poor prediction performance of the model....

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Bibliographic Details
Main Authors:	Shurui Fan, Dongxia Hao, Yu Feng, Kewen Xia, Wenbiao Yang
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Series:	Information
Subjects:	air quality wavelet decomposition long short-term memory (LSTM) neural network autoregressive moving average (ARMA) model
Online Access:	https://www.mdpi.com/2078-2489/12/5/210

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