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연구정보
[IT] Landslide susceptibility in a hilly region of Romania using artificial intelligence and bivariate statistics
루마니아 국외연구자료 연구보고서 - Applications of AI in Mining and Geotechnical Engineering 발간일 : 2024-01-12 등록일 : 2024-04-04 원문링크
In the current study, a landslide susceptibility estimation procedure was presented using two models. The first model is represented by the frequency ratio method, while the second model was generated by combining frequency ratio with multilayer perceptron. The present research paper focused on the area of the upper and middle basin of the Cricovul Sarat river in Romania. A number of 321 locations of landslides and 10 landslide predictors were used to determine susceptibility. It should be mentioned that the ROC curve was involved as validation algorithm for the results. This indicated that both models used had a high accuracy, area under curve (AUC) having values above 0.85. At the same time, the most exposed surfaces to landslides were those with slope values over 25°.
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| 이전글 | [정책] 유럽 공공 부문 AI 활용 현황 | 2022-09-14 |
|---|---|---|
| 다음글 | 다음글이 존재하지 않습니다. |
