Conditioning factors determination for landslide susceptibility mapping using support vector machine learning
This study investigates the effectiveness of two sets of landslide conditioning variable(s). Fourteen landslide conditioning variables were considered in this study where they were duly divided into two sets G1 and G2. Two Support Vector Machine (SVM) classifiers were constructed based on each datas...
| Автори: | , , , , |
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| Формат: | Conference or Workshop Item |
| Мова: | English |
| Опубліковано: |
IEEE
2019
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| Онлайн доступ: | http://psasir.upm.edu.my/id/eprint/78128/1/Conditioning%20factors%20determination%20for%20landslide%20susceptibility%20mapping%20using%20support%20vector%20machine%20learning.pdf |