Comparison of Machine Learning Models for Hazardous Gas Dispersion Prediction in Field Cases

Dispersion prediction plays a significant role in the management and emergency response to hazardous gas emissions and accidental leaks. Compared with conventional atmospheric dispersion models, machine leaning (ML) models have both high accuracy and efficiency in terms of prediction, especially in...

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Detalles Bibliográficos
Autores principales: Wang, Rongxiao, Chen, Bin, Qiu, Sihang, Zhu, Zhengqiu, Wang, Yiduo, Wang, Yiping, Qiu, Xiaogang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069387/
https://www.ncbi.nlm.nih.gov/pubmed/29996467
http://dx.doi.org/10.3390/ijerph15071450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069387/
https://www.ncbi.nlm.nih.gov/pubmed/29996467
http://dx.doi.org/10.3390/ijerph15071450

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