Enhancing Predictive Accuracy of Landslide Susceptibility via Machine Learning Optimization

The present study examines the application of four machine learning models—Multi-Layer Perceptron, Naive Bayes, Credal Decision Trees, and Random Forests—to assess landslide susceptibility using Mei County, China, as a case study. Aerial photographs and field survey data were integrated into a GIS s...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Chuanwei Zhang, Dingshuai Liu, Paraskevas Tsangaratos, Ioanna Ilia, Sijin Ma, Wei Chen
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Subjects:	landslide susceptibility mapping machine learning optimization GIS-based analysis Random Forests Mei County China
Online Access:	https://www.mdpi.com/2076-3417/15/11/6325