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Comparison of traditional and automated machine learning approaches in predicting the compressive strength of graphene oxide/cement composites

Jinlong Yang, Bowen Zeng, Ni Zhi, Yucheng Fan, Ziyan Hang, Yu Wang, Chuang Feng, Jie Yang

2023Construction and Building Materials49 citationsDOIOpen Access PDF

Topics & Concepts

GrapheneInterpretabilityDispersion (optics)HyperparameterCompressive strengthWorkflowCementMaterials scienceComputer scienceCoupling (piping)OxideMachine learningArtificial intelligenceComposite materialNanotechnologyPhysicsOpticsDatabaseMetallurgyInnovative concrete reinforcement materialsConcrete and Cement Materials ResearchSmart Materials for Construction
Comparison of traditional and automated machine learning approaches in predicting the compressive strength of graphene oxide/cement composites | Litcius