A temperature prediction model for coal spontaneous combustion based on PSO-SRU deep artificial neural networks

A temperature prediction model for coal spontaneous combustion based on PSO-SRU deep artificial neural networks

Traditional temperature prediction models for coal spontaneous combustion typically have low generality and robustness. This paper improves them by proposing a coal spontaneous combustion temperature prediction model based on particle swarm optimization and simple recurrent unit(PSO-SRU). It firstly...

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Bibliographic Details
Main Authors: JIA Pengtao, LIN Kaiyi, GUO Fengjing
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2022-04-01
Series:Gong-kuang zidonghua
Subjects:
temperature prediction of coal spontaneous combustion
gas indicator
deep artificial neural network
recurrent neural network
simple recurrent unit
particle swarm optimization
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2021090047

Internet

http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2021090047

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