Gas concentration prediction by LSTM network combined with wavelet thresholding denoising and phase space reconstruction

Gas concentration prediction by LSTM network combined with wavelet thresholding denoising and phase space reconstruction

The Long Short-Term Memory neural network is a specialized architecture designed for handling time series data, extensively applied in the field of predicting gas concentrations. In the harsh conditions prevalent in coal mines, the time series data of gas concentrations collected by sensors are susc...

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Bibliographic Details
Main Authors: Kun Gao, ZuoJin Zhou, YaHui Qin
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Time series
Wavelet threshold denoising
Phase space reconstruction
LSTM neural network
Gas concentration prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024041434

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024041434

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