A stacking-based ensemble learning method for earthquake casualty prediction

The estimation of the loss and prediction of the casualties in earthquake-stricken areas are vital for making rapid and accurate decisions during rescue efforts. The number of casualties is determined by various factors, necessitating a comprehensive system for earthquake-casualty prediction. To obt...

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Veröffentlicht in:	Applied soft computing Jg. 101; S. 107038
Hauptverfasser:	Cui, Shaoze, Yin, Yunqiang, Wang, Dujuan, Li, Zhiwu, Wang, Yanzhang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2021
Schlagworte:	Casualty prediction Earthquake Ensemble learning Intelligent optimization algorithm Stacking Casualty prediction Earthquake Ensemble learning Intelligent optimization algorithm Stacking
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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