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Development of a Support Vector Machine (SVM) and a Classification and Regression Tree (CART) to Predict the Shear Strength of Sand-Rubber Mixtures

Abolfazl Baghbani, Firas Daghistani, Hossam Abuel Naga, Susanga Costa

20228th International Symposium for Geotechnical Safety & Risk (ISGSR 2022)15 citationsDOIOpen Access PDF

Abstract

Development of a Support Vector Machine (SVM) and a Classification and Regression Tree (CART) to Predict the Shear Strength of Sand-Rubber Mixtures

Topics & Concepts

CartSupport vector machineNatural rubberShear strength (soil)Artificial intelligenceRegressionComputer scienceMachine learningTree (set theory)Pattern recognition (psychology)Geotechnical engineeringGeologyMathematicsEngineeringStatisticsMaterials scienceComposite materialSoil scienceMechanical engineeringSoil waterMathematical analysisTunneling and Rock MechanicsMaterials Engineering and ProcessingGeotechnical Engineering and Soil Stabilization
Development of a Support Vector Machine (SVM) and a Classification and Regression Tree (CART) to Predict the Shear Strength of Sand-Rubber Mixtures | Litcius