Landslide susceptibility map** based on support vector machine: a case study on natural slopes of Hong Kong, China

X Yao, LG Tham, FC Dai - Geomorphology, 2008 - Elsevier
The Support Vector Machine (SVM) is an increasingly popular learning procedure based on
statistical learning theory, and involves a training phase in which the model is trained by a …

Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy

H Hong, W Chen, C Xu, AM Youssef… - Geocarto …, 2017 - Taylor & Francis
The main objective of the study was to evaluate and compare the overall performance of
three methods, frequency ratio (FR), certainty factor (CF) and index of entropy (IOE), for …

Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility map** at Haraz watershed, Iran

HR Pourghasemi, B Pradhan, C Gokceoglu… - Arabian Journal of …, 2013 - Springer
The main goal of this study was to investigate the application of the weights-of-evidence and
certainty factor approaches for producing landslide susceptibility maps of a landslide-prone …

Landslide susceptibility map** using an integrated model of information value method and logistic regression in the Bailongjiang watershed, Gansu Province, China

G Du, Y Zhang, J Iqbal, Z Yang, X Yao - Journal of Mountain Science, 2017 - Springer
Bailongjiang watershed in southern Gansu province, China, is one of the most landslide-
prone regions in China, characterized by very high frequency of landslide occurrence. In …