| dc.contributor.author | Yilmaz I. | |
| dc.date.accessioned | 2019-07-27T12:10:23Z | |
| dc.date.accessioned | 2019-07-28T09:12:38Z | |
| dc.date.available | 2019-07-27T12:10:23Z | |
| dc.date.available | 2019-07-28T09:12:38Z | |
| dc.date.issued | 2005 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12418/4423 | |
| dc.description | 5th International Scientific Conference of Modern Management of Mine Producing, Geology and Environmental Protection, SGEM 2005 -- 13 June 2005 through 17 June 2005 -- Albena | en_US |
| dc.description.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. | en_US |
| dc.language.iso | eng | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Landslide susceptibility mapping methods and use of artificial neural networks | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | 5th International Scientific Conference of Modern Management of Mine Producing, Geology and Environmental Protection, SGEM 2005 | en_US |
| dc.contributor.department | Yilmaz, I., Cumhuriyet University, Department of Geological Engineering, Sivas, Turkey | en_US |
| dc.identifier.endpage | 530 | en_US |
| dc.identifier.startpage | 521 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
