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Cone Penetration Test Prediction Based on Random Forest Models and Deep Neural Networks

Vinicius Luiz Pacheco, Lucimara Bragagnolo, Francisco Dalla Rosa, Antônio Thomé

2023Geotechnical and Geological Engineering11 citationsDOI

Topics & Concepts

Cone penetration testArtificial neural networkRandom forestHydrogeologyMachine learningComputer scienceArtificial intelligenceTest dataPenetration testGeotechnical engineeringAlgorithmEngineeringSubgradeProgramming languageGeotechnical Engineering and AnalysisGeotechnical Engineering and Underground StructuresGeotechnical Engineering and Soil Mechanics
Cone Penetration Test Prediction Based on Random Forest Models and Deep Neural Networks | Litcius