Modeling of landslides susceptibility prediction using deep belief networks with optimized learning rate control
Sign Up to like & getrecommendations! Published in 2024 at "Geocarto International"
DOI: 10.1080/10106049.2024.2322060
Abstract: Abstract To overcome critical issues in landslide susceptibility modeling, a multifactor landslide susceptibility prediction model based on deep belief networks (DBN) with optimized learning rate control (LRC-DBN) was introduced in this study. The LRC-DBN model… read more here.
Keywords: belief networks; learning rate; susceptibility; susceptibility prediction ... See more keywords
Insights from Optimized Non-Landslide Sampling and SHAP Explainability for Landslide Susceptibility Prediction
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DOI: 10.3390/app15031163
Abstract: The quality of sampling data critically influences landslide susceptibility prediction accuracy. Current studies commonly use a 1:1 ratio of landslide to non-landslide samples, failing to reflect natural geographical variability. This study develops a region-specific framework… read more here.
Keywords: susceptibility; landslide susceptibility; non landslide; susceptibility prediction ... See more keywords