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Comparison of artificial neural networks (ANN), support vector machine (SVM) and gene expression programming (GEP) approaches for predicting TBM penetration rate

Alireza Afradi, Arash Ebrahimabadi

2020SN Applied Sciences37 citationsDOIOpen Access PDF

Topics & Concepts

Gene expression programmingSupport vector machineArtificial neural networkMean squared errorPenetration rateMachine learningPenetration (warfare)Artificial intelligenceComputer scienceMean squared prediction errorCoefficient of determinationData miningRate of penetrationEngineeringMathematicsStatisticsOperations researchGeotechnical engineeringMechanical engineeringDrillingTunneling and Rock MechanicsDrilling and Well EngineeringAdvanced Surface Polishing Techniques
Comparison of artificial neural networks (ANN), support vector machine (SVM) and gene expression programming (GEP) approaches for predicting TBM penetration rate | Litcius