A novel deep learning framework for landslide susceptibility assessment using improved deep belief networks with the intelligent optimization algorithm

This research proposed a novel deep learning framework that combines the Laplace function sparse regularized continuous deep belief network (LSCDBN) and the Gray Wolf Optimization Algorithm (GWO) and the Whale Optimization Algorithm (WOA), to perform landslide susceptibility assessment. This framewo...

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Veröffentlicht in:	Computers and geotechnics Jg. 167; S. 106106
Hauptverfasser:	Meng, Shaoqiang, Shi, Zhenming, Li, Gang, Peng, Ming, Liu, Liu, Zheng, Hongchao, Zhou, Changshi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2024
Schlagworte:	Deep belief network Deep learning Frequency ratio Intelligent optimization algorithm Landslide susceptibility assessment Deep learning Landslide susceptibility assessment Deep belief network Frequency ratio Intelligent optimization algorithm
ISSN:	0266-352X, 1873-7633
Online-Zugang:	Volltext
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