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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...
Autores principales: | Lu, Ying, Fan, Xiaopeng, Zhang, Yi, Wang, Yong, Jiang, Xuepeng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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