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Mechanical and Physical Based Artificial Neural Network Models for the Prediction of the Unconfined Compressive Strength of Rock

Wasim S. Barham, Samer R. Rabab’ah, Hussein Aldeeky, Omar Al Hattamleh

2020Geotechnical and Geological Engineering45 citationsDOI

Topics & Concepts

Schmidt hammerCompressive strengthArtificial neural networkHydrogeologyDurabilityPerformance predictionGeotechnical engineeringPredictive modellingTest dataUltimate tensile strengthMultivariate statisticsEngineeringMachine learningGeologyComputer scienceSimulationMaterials scienceDatabaseMetallurgyComposite materialSoftware engineeringRock Mechanics and ModelingGeophysical Methods and ApplicationsGrouting, Rheology, and Soil Mechanics
Mechanical and Physical Based Artificial Neural Network Models for the Prediction of the Unconfined Compressive Strength of Rock | Litcius