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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Hlavní autoři:	Ying Lu, Xiaopeng Fan, Yi Zhang, Yong Wang, Xuepeng Jiang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-02-01
Edice:	Sensors
Témata:	risk assessment model stadium fire risk equipment management SHapley Additive exPlanations (SHAP) random forest algorithm
On-line přístup:	https://www.mdpi.com/1424-8220/23/4/2151
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