Research on Gas Concentration Prediction Models Based on LSTM Multidimensional Time Series

Research on Gas Concentration Prediction Models Based on LSTM Multidimensional Time Series

Effective prediction of gas concentrations and reasonable development of corresponding safety measures have important guiding significance for improving coal mine safety management. In order to improve the accuracy of gas concentration prediction and enhance the applicability of the model, this pape...

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Bibliographic Details
Main Authors: Tianjun Zhang, Shuang Song, Shugang Li, Li Ma, Shaobo Pan, Liyun Han
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Energies
Subjects:
coal mine safety
recurrent neural network
deep learning
LSTM regression
Online Access:http://www.mdpi.com/1996-1073/12/1/161

Internet

http://www.mdpi.com/1996-1073/12/1/161

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