Predicting the Young’s modulus of rock material based on petrographic and rock index tests using boosting and bagging intelligence techniques
Rock deformation is considered one of the essential rock properties used in designing and constructing rock-based structures, such as tunnels and slopes. This study applied two well-established ensemble techniques, including boosting and bagging, to the artificial neural networks and decision tree m...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/100982/1/AhmadSafuan2022_PredictingtheYoungsModulusofRockMaterial.pdf |