Assessment of earthquake-triggered landslide susceptibility in El Salvador based on an Artificial Neural Network model
This paper presents an approach for assessing earthquake-triggered landslide susceptibility using artificial neural networks (ANNs). The computational method used for the training process is a back-propagation learning algorithm. It is applied to El Salvador, one of the most seismically active regio...
Main Authors: | M. J. García-Rodríguez, J. A. Malpica |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2010-06-01
|
Series: | Natural Hazards and Earth System Sciences |
Online Access: | http://www.nat-hazards-earth-syst-sci.net/10/1307/2010/nhess-10-1307-2010.pdf |
Similar Items
-
Rainfall and earthquake-induced landslide susceptibility assessment using GIS and Artificial Neural Network
by: Y. Li, et al.
Published: (2012-08-01) -
Earthquake-induced landslide-susceptibility mapping using an artificial neural network
by: S. Lee, et al.
Published: (2006-01-01) -
Landslide Susceptibility Assessment at the Basin Scale for Rainfall- and Earthquake-Triggered Shallow Slides
by: Cristina Gordo, et al.
Published: (2019-06-01) -
Mapping earthquake-triggered landslide susceptibility by use of artificial neural network (ANN) models: an example of the 2013 Minxian (China) Mw 5.9 event
by: Yingying Tian, et al.
Published: (2019-01-01) -
Regional Risk Assessment of Earthquake-triggered Landslides
by: Yingying Tian, et al.
Published: (2015-12-01)