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Performance Comparison of Artificial Neural Network and Random Forest Models for Predicting the Compressive Strength of Fibre-Reinforced GGBS-Based Geopolymer Concrete Composites

Shimol Philip, M. Nidhi

2024Materials Circular Economy20 citationsDOI

Topics & Concepts

Compressive strengthComposite materialMaterials scienceArtificial neural networkGeopolymerUltimate tensile strengthGround granulated blast-furnace slagGeopolymer cementComputer scienceArtificial intelligenceFly ashInnovative concrete reinforcement materialsConcrete and Cement Materials ResearchRecycled Aggregate Concrete Performance
Performance Comparison of Artificial Neural Network and Random Forest Models for Predicting the Compressive Strength of Fibre-Reinforced GGBS-Based Geopolymer Concrete Composites | Litcius