Vehicle Emission Forecasting Based on Wavelet Transform and Long Short-Term Memory Network

Vehicle Emission Forecasting Based on Wavelet Transform and Long Short-Term Memory Network

This paper proposes a time series model based on wavelet transform and long short-term memory (LSTM) network to forecast vehicle emission. It implements the semi-supervised collaborative training regression to compensate missing emissions data. The accumulated carbon monoxide (CO), hydrocarbons (HC)...

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Bibliographic Details
Main Authors: Qiang Zhang, Feng Li, Fei Long, Qiang Ling
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Vehicle emissions forecasting
long short-term memory network
wavelet transform
semi-supervised collaborative training regression
Online Access:https://ieeexplore.ieee.org/document/8482110/

Internet

https://ieeexplore.ieee.org/document/8482110/

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