Landslide Susceptibility Assessment at Mila Basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine Learning Methods
Author:
Publisher
MDPI AG
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development
Link
http://www.mdpi.com/2220-9964/7/7/268/pdf
Reference66 articles.
1. A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
2. Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks
3. A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
4. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
5. Machine learning in geosciences and remote sensing
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