A LSTM-RNN based intelligent control approach for temperature and humidity environment of urban utility tunnels

Temperature and relative humidity are important indicators of utility tunnel indoor atmosphere hazards and operational risks, which can be effectively mitigated by accurate forecasting and corrective control measures. To this end, this paper proposed a multi-layer long short-term memory (LSTM) recur...

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Detalles Bibliográficos
Autores principales: Peng, Fang-Le, Qiao, Yong-Kang, Yang, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925953/
https://www.ncbi.nlm.nih.gov/pubmed/36798772
http://dx.doi.org/10.1016/j.heliyon.2023.e13182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925953/
https://www.ncbi.nlm.nih.gov/pubmed/36798772
http://dx.doi.org/10.1016/j.heliyon.2023.e13182

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