Conditioning factors determination for landslide susceptibility mapping using support vector machine learning

• المؤلفون الرئيسيون: Kalantar, Bahareh, Ueda, Naonori, Lay, Usman Salihu, Al-Najjar, Husam Abdulrasool H., Abdul Halin, Alfian
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: IEEE 2019
• الوصول للمادة أونلاين: http://psasir.upm.edu.my/id/eprint/78128/1/Conditioning%20factors%20determination%20for%20landslide%20susceptibility%20mapping%20using%20support%20vector%20machine%20learning.pdf; http://psasir.upm.edu.my/id/eprint/78128/

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...