Probabilistic evaluation of ground-support interaction for deep rock excavation using artificial neural network and uniform design

• Main Authors: Lü, Qing, Chan, Chin Loong, Low, Bak Kong
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/96382; http://hdl.handle.net/10220/10266
• Institution: Nanyang Technological University

An efficient approach is proposed in this paper for probabilistic ground-support interaction analysis of deep rock excavation using the artificial neural network (ANN) and uniform design. The deterministic model is based on the convergence–confinement method. The ANN model is employed as the respons...