An optimized deep neural network for rockburst damage potential modelling

Keyphrases

• Damage Potential 100%
• Rockburst Damage 100%
• Potential Modeling 100%
• Optimized Deep Neural Network 100%
• Rockburst 60%
• Training Set 40%
• Model Evaluation 40%
• Underground Mining 20%
• Nonlinearity 20%
• Reliable Model 20%
• Seismic Events 20%
• Performance Index 20%
• Artificial Neural Network 20%
• Stress Conditions 20%
• Overfitting 20%
• Cross-validation Method 20%
• Ground Support Systems 20%
• Geological Structure 20%
• Peak Particle Velocity 20%
• Adam Optimizer 20%
• Active Mine 20%
• System Stress 20%
• Good Performance 20%
• Fair Model 20%

INIS

• modeling 100%
• damage 100%
• neural networks 100%
• performance 40%
• data 40%
• datasets 40%
• mines 40%
• capacity 20%
• engineers 20%
• peaks 20%
• velocity 20%
• nonlinear problems 20%
• validation 20%
• particles 20%
• underground 20%
• excavation 20%
• seismic events 20%
• coefficient of performance 20%

Earth and Planetary Sciences

• Rockburst 100%
• Nonlinearity 12%
• Ground Support Systems 12%
• Geological Structure 12%
• Artificial Neural Network 12%