Large group activity security risk assessment and risk early warning based on random forest algorithm

•With the continuous development of artificial intelligence, machine learning, as an indispensable means to realize artificial intelligence, is constantly improving, and deep learning is one of the contents. This article aims to evaluate and warn the security risks of large-scale group activities ba...

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Veröffentlicht in:	Pattern recognition letters Jg. 144; S. 1 - 5
Hauptverfasser:	Chen, Yanyu, Zheng, Wenzhe, Li, Wenbo, Huang, Yimiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.04.2021 Elsevier Science Ltd
Schlagworte:	Algorithms Artificial intelligence Deep learning Environmental protection Forest management Large-scale group activities Learning algorithms Machine learning Optimization Random forest algorithm Random variables Risk analysis Risk assessment Risk warning Security Security risk assessment Security risk assessment Random forest algorithm Risk warning Large-scale group activities
ISSN:	0167-8655, 1872-7344
Online-Zugang:	Volltext
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