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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |