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ANN, M5P-tree model, and nonlinear regression approaches to predict the compression strength of cement-based mortar modified by quicklime at various water/cement ratios and curing times

Ahmed Salih Mohammed, Serwan Rafiq, Parveen Sihag, Wael Mahmood, Kawan Ghafor, Warzer Sarwar

2020Arabian Journal of Geosciences37 citationsDOI

Topics & Concepts

CementCuring (chemistry)MortarNonlinear systemNonlinear regressionMaterials scienceRegression analysisComposite materialMathematicsStatisticsQuantum mechanicsPhysicsConcrete and Cement Materials ResearchInnovative concrete reinforcement materialsConcrete Properties and Behavior
ANN, M5P-tree model, and nonlinear regression approaches to predict the compression strength of cement-based mortar modified by quicklime at various water/cement ratios and curing times | Litcius