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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Vydané v:	Computers and geotechnics Ročník 167; s. 106106
Hlavní autori:	Meng, Shaoqiang, Shi, Zhenming, Li, Gang, Peng, Ming, Liu, Liu, Zheng, Hongchao, Zhou, Changshi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.03.2024
Predmet:	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
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