Applying artificial neural networks in slope stability related phenomena

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Published: Jan 21, 2013
DOI: https://doi.org/10.12681/bgsg.10945
Keywords:
Landslide Susceptibility Data Mining Artificial Neural Networks Geographic Information System
P. Tsangaratos
National Technical University of Athens, School of Mining and Metallurgical Engineering, Department of Geological Studies
A. Benardos
National Technical University of Athens, School of Mining and Metallurgical Engineering, Department of Mining Engineering
Abstract
Over the past years, Artificial Neural Networks (ANN) have been successfully used for the modelling in a great number of geoscience applications. In this paper we discuss the architecture and the way ANN work, presenting a specific learning algorithm which has been applied in the estimation of landslide susceptibility within a GIS environment.
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  • Engineering Geology and Geotechnical Engineering
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