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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...

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Main Authors: Kalantar, Bahareh, Ueda, Naonori, Lay, Usman Salihu, Al-Najjar, Husam Abdulrasool H., Abdul Halin, Alfian
格式: Conference or Workshop Item
语言:English
出版: IEEE 2019
在线阅读: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/
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