Browsing USN Open Archive by Journals "Forests"
Now showing items 1-2 of 2
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Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
(Peer reviewed; Journal article, 2019)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 ... -
A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility
(Peer reviewed; Journal article, 2020)This study developed and verified a new hybrid machine learning model, named random forest machine (RFM), for the spatial prediction of shallow landslides. RFM is a hybridization of two state-of-the-art machine learning ...