Quang-Hieu Tran1,2,*, Hoang Nguyen1,2, Xuan-Nam Bui1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 2227-2246, 2023, DOI:10.32604/cmes.2022.021893
Abstract This study considered and predicted blast-induced ground vibration (PPV) in open-pit mines using bagging and
sibling techniques under the rigorous combination of machine learning algorithms. Accordingly, four machine
learning algorithms, including support vector regression (SVR), extra trees (ExTree), K-nearest neighbors (KNN),
and decision tree regression (DTR), were used as the base models for the purposes of combination and PPV initial
prediction. The bagging regressor (BA) was then applied to combine these base models with the efforts of variance
reduction, overfitting elimination, and generating more robust predictive models, abbreviated as BA-ExTree, BAKNN, BA-SVR, and BA-DTR. It is emphasized that the ExTree… More >
Login
Register
