Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength

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Efficient machine learning models for prediction of concrete strengths (2021, methodology): “371 Even though SVR does not yield the best results, it is better than those reported by [11] 372 where SVM algorithm was also involved to build an ensemble model.”
Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article] (2016, methodology): “Another advantage is that since the aggregation stage is supervised, the choice of base predictors are wider and it usually results in forming heterogeneous ensemble methods such as the methods reported in [84], [85].”