The Forecasting of PM2.5 Using a Hybrid Model Based on Wavelet Transform and an Improved Deep Learning Algorithm

The Forecasting of PM2.5 Using a Hybrid Model Based on Wavelet Transform and an Improved Deep Learning Algorithm

In recent years, the haze has caused serious troubles to people's lives, with the continuous increase of PM2.5 emissions. The accurate prediction of PM2.5 is very crucial for policy makers to make predictive measures. Due to the nonlinearity of the PM2.5 time series, it is difficult to predict...

Full description

Bibliographic Details
Main Authors: Weibiao Qiao, Wencai Tian, Yu Tian, Quan Yang, Yining Wang, Jianzhuang Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
PM 2.5 time series
wavelet transform
stacked autoencoder
long short-term memory
prediction
Online Access:https://ieeexplore.ieee.org/document/8853331/

Internet

https://ieeexplore.ieee.org/document/8853331/

Similar Items