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Liquefaction prediction with robust machine learning algorithms (SVM, RF, and XGBoost) supported by genetic algorithm-based feature selection and parameter optimization from the perspective of data processing

Selçuk Demir, Emrehan Kutluğ Şahin

2022Environmental Earth Sciences120 citationsDOI

Topics & Concepts

Support vector machineAlgorithmFeature selectionRandom forestComputer scienceMachine learningArtificial intelligenceGenetic algorithmSampling (signal processing)Data setData miningStatistical classificationFeature (linguistics)PhilosophyComputer visionLinguisticsFilter (signal processing)Geotechnical Engineering and Underground StructuresGeotechnical Engineering and Soil MechanicsDam Engineering and Safety
Liquefaction prediction with robust machine learning algorithms (SVM, RF, and XGBoost) supported by genetic algorithm-based feature selection and parameter optimization from the perspective of data processing | Litcius