Deep Learning and PDE-Based Models for Geological Hazard Prediction

Key Points

• This research aims to enhance prediction methods for geological hazards through the integration of deep learning and PDE-based models.
• Utilized deep learning algorithms to analyze geological data
• Applied partial differential equations (PDE) for model simulations
• Conducted performance comparisons between traditional and advanced predictive models
• Deep learning models significantly outperformed traditional methods in accuracy
• PDE-based simulations provided detailed hazard predictions across various scenarios
• Integration of both approaches improved overall predictive reliability