Predicting the young's modulus of rock material based on petrographic and rock index tests using boosting and bagging intelligence techniques

• Main Authors: Tsang, Long, He, Biao, Rashid, Ahmad Safuan A., Jalil, Abduladheem Turki, Sabri, Mohanad Muayad Sabri
• Format: Article
• Published: MDPI 2022
• Subjects: QD Chemistry
• Online Access: http://eprints.um.edu.my/40872/
• Institution: Universiti Malaya

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...