Litcius/Paper detail

Predicting compressive strength of concrete with fly ash and admixture using XGBoost: a comparative study of machine learning algorithms

Abhilash Gogineni, Indra Kumar Panday, Pramod Kumar, Rajesh Kr. Paswan

2023Asian Journal of Civil Engineering54 citationsDOI

Topics & Concepts

Compressive strengthMean squared errorSupport vector machineRandom forestArtificial neural networkMachine learningComputer sciencePredictive modellingFeature selectionArtificial intelligenceAlgorithmFly ashMathematicsStatisticsEngineeringMaterials scienceWaste managementComposite materialInnovative concrete reinforcement materialsConcrete and Cement Materials ResearchConcrete Corrosion and Durability
Predicting compressive strength of concrete with fly ash and admixture using XGBoost: a comparative study of machine learning algorithms | Litcius