Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides

Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides

The purpose of this study is to compare nine models, composed of certainty factors (CFs), weights of evidence (WoE), evidential belief function (EBF) and two machine learning models, namely random forest (RF) and support vector machine (SVM). In the first step, fifteen landslide conditioning factors...

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Bibliographic Details
Main Authors: Wei Chen, Zenghui Sun, Xia Zhao, Xinxiang Lei, Ataollah Shirzadi, Himan Shahabi
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
landslide
hybrid integration approaches
bivariate models
decision tree
data mining
Online Access:https://www.mdpi.com/2220-9964/9/12/696

Internet

https://www.mdpi.com/2220-9964/9/12/696

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