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Neural Network model for predicting landslide susceptibility: A case study from Crotone Province (Calabria, South Italy)

Academic Article
Publication Date:
2012
abstract:
Landsliding is a natural geologic and geomorphic process that plays a key role in denudation, landform development, in hilly-mountainous terrain. Besides, landslides are one of the most natural hazard that cause damage to both property and life all over the world. In this work the artificial neural network (ANN) technique was tested for the evaluation and mapping the landslide susceptibility in Crotone Province (Calabria, South Italy).
Iris type:
01.01 Articolo in rivista
Keywords:
Neural Network; GIS; Landslide susceptibility; Calabria
List of contributors:
Conforti, Massimo
Authors of the University:
CONFORTI MASSIMO
Handle:
https://iris.cnr.it/handle/20.500.14243/389268
Published in:
RENDICONTI ONLINE DELLA SOCIETÀ GEOLOGICA ITALIANA
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-84872357890&origin=inward
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