Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

This paper presents novel hybrid machine learning models, namely Adaptive Neuro Fuzzy Inference System optimized by Particle Swarm Optimization (PSOANFIS), Artificial Neural Networks optimized by Particle Swarm Optimization (PSOANN), and Best First Decision Trees based Rotation Forest (RFBFDT), for...

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Bibliographic Details
Main Authors: Vu Viet Nguyen, Binh Thai Pham, Ba Thao Vu, Indra Prakash, Sudan Jha, Himan Shahabi, Ataollah Shirzadi, Dong Nguyen Ba, Raghvendra Kumar, Jyotir Moy Chatterjee, Dieu Tien Bui
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Forests
Subjects:
GIS
hybrid models
machine learning
adaptive neuro fuzzy inference system
landslide
Vietnam
Online Access:https://www.mdpi.com/1999-4907/10/2/157

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https://www.mdpi.com/1999-4907/10/2/157

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