In this study, the four landslide susceptibility (LS) mapping methods, frequency ratio (FR),
analytic hierarchy process (AHP), artificial neural networks (ANN) and fuzzy logic (FL) …

The purpose of this study is to compare the landslide susceptibility mapping methods of
frequency ratio (FR), logistic regression and artificial neural networks (ANN) applied in the …

This case study presented herein compares the GIS-based landslide susceptibility mapping
methods such as conditional probability (CP), logistic regression (LR), artificial neural …

Over the last few decades, many researchers have produced landslide susceptibility maps
using different techniques including the probability method (frequency ratio), the analytical …

The main purpose of this study is to obtain the landslide susceptibility mapping and compare
the models of logistic regression (LR), analytical hierarchy process (AHP), and frequency …

This study evaluated and compared landslide susceptibility maps produced with three
different methods, frequency ratio, weights of evidence, and logistic regression, by using …

The selection of a suitable method is crucial for landslide susceptibility mapping (LSM). The
main objective of this article was to compare the index of entropy (IoE), frequency ratio (FR) …

Landslide susceptibility maps (LSMs) have been used frequently by researchers for many
years in prediction of the occurrence of landslides. Since many landslides have occurred …

This study aims to investigate the performances of different training algorithms used for an
artificial neural network (ANN) method to produce landslide susceptibility maps. For this …

The northeast part of Turkey is prone to landslides because of the climatic conditions, as
well as geologic and geomorphologic characteristics of the region. Especially, frequent …