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A Comparative Analysis of Machine Learning Models for Predicting Loess Collapse Potential

Sahand Motameni, Fateme Rostami, Sara Farzai, Abbas Soroush

2023Geotechnical and Geological Engineering20 citationsDOI

Topics & Concepts

Oedometer testGeotechnical engineeringMachine learningVoid ratioArtificial neural networkDegree of saturationLoessPerceptronHydrogeologyArtificial intelligenceSoil waterEngineeringGeologyComputer scienceSoil scienceGeomorphologySoil and Unsaturated FlowDam Engineering and SafetyGrouting, Rheology, and Soil Mechanics
A Comparative Analysis of Machine Learning Models for Predicting Loess Collapse Potential | Litcius