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LANDSLIDE SUSCEPTIBILITY MAPPING METHODS AND USE OF ARTIFICIAL NEURAL NETWORKS
Abstract
Landslides have a large quantity of the natural disasters world-wide, this trend will increase in the future due to increased urbanization and development. The creation of maps of susceptibility, danger and risk is very important for engineering geologists, geomorphologists and city planners. Although several techniques are available for landslide risk investigation, reliable susceptibility mapping of landslides is very difficult due to their complex nature. Techniques for susceptibility mapping such as; deterministic, heuristic and statistical were explained, discussed, and compared with the use of the artificial neural networks.
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References1
period”. Based on mathematical calculations, risk is the product of hazard and “vulnerability” (Monge et al., 1998). International Conference of Modern Management of Mine Producing, Geology and Environmental Protection
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