A comparative study of different neural network models for landslide susceptibility mapping-Reference-Cited by-同舟云学术

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A comparative study of different neural network models for landslide susceptibility mapping

Published:2022-07 Issue:2 Volume:70 Page:383-401
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Zhao Zhan'ao,He Yi,Yao Sheng,Yang Wang,Wang Wenhui,Zhang Lifeng,Sun Qiang

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference71 articles.

1. Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia;Aditian;Geomorphology,2018

2. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains;Ayalew;Central Japan. Geomorphology,2005

3. The use of the area under the ROC curve in the evaluation of machine learning algorithms;Bradley;Pattern Recogn.,1997

4. Landslide susceptibility mapping Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models;Chang;Remote Sens.,2020

5. Prediction of insar deformation time-series using a long short-term memory neural network;Chen;Int. J. Remote Sens.,2021

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1. A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP;Karadeniz Fen Bilimleri Dergisi;2024-09-15

2. A hybrid approach combining physics-based model with extreme value analysis for temporal probability of rainfall-triggered landslide;Landslides;2024-09-14

3. Optimized Landslide Susceptibility Mapping and Modelling Using the SBAS-InSAR Coupling Model;Remote Sensing;2024-08-06

4. A landslide susceptibility assessment method considering the similarity of geographic environments based on graph neural network;Gondwana Research;2024-08

5. Machine learning-based landslide velocity prediction model: incorporating multi- expression programming and discrete element modeling;2024-07-19

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