Machine Learning Models Using SHapley Additive exPlanation for Fire Risk Assessment Mode and Effects Analysis of Stadiums

Machine learning methods can establish complex nonlinear relationships between input and response variables for stadium fire risk assessment. However, the output of machine learning models is considered very difficult due to their complex “black box” structure, which hinders their application in sta...

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Detalles Bibliográficos
Autores principales: Lu, Ying, Fan, Xiaopeng, Zhang, Yi, Wang, Yong, Jiang, Xuepeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964004/
https://www.ncbi.nlm.nih.gov/pubmed/36850757
http://dx.doi.org/10.3390/s23042151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964004/
https://www.ncbi.nlm.nih.gov/pubmed/36850757
http://dx.doi.org/10.3390/s23042151

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