Applying Knowledge-Guided Machine Learning to Slope Stability Prediction

Keyphrases

• Knowledge-based Model 100%
• Data-driven Model 75%
• Geotechnical Engineering 75%
• Data-driven Approach 50%
• Loss Function 50%
• Physics-based 50%
• Slope Stability 50%
• Knowledge-guided 50%
• Pure Data 50%
• Knowledge Data 50%
• Big Data 25%
• Effective Method 25%
• Engineering Application 25%
• Modeling Data 25%
• Stability Condition 25%
• Safety Factor 25%
• Shear Strength 25%
• Easy-to-implement 25%
• Condition-dependent 25%
• Model Validation 25%
• Model Performance 25%
• Benchmark Dataset 25%
• Evaluation Metrics 25%
• Specific Analysis 25%
• Multiphysics 25%
• Underground Physics 25%
• Engineering Domains 25%
• Data-driven Methods 25%
• Model-guided 25%
• Slope Failure 25%
• Machine Learning Models 25%
• Model Knowledge 25%
• Limit Equilibrium Analysis 25%
• Safety Value 25%
• 5-fold Cross Validation 25%
• Knowledge-based Method 25%

Engineering

• Slope Stability 100%
• Learning System 100%
• Domain Knowledge 55%
• Stability Condition 44%
• Geotechnical Engineering 33%
• Data Model 22%
• Loss Function 22%
• Engineering Application 11%
• Metrics 11%
• Factor of Safety 11%
• Influencing Factor 11%
• Empirical Model 11%
• Slope Failure 11%
• Initial Assessment 11%
• Big Data 11%
• Shear Strength 11%
• Soil Mechanics 11%

Earth and Planetary Sciences

• Machine Learning 100%
• Slope Stability 100%
• Geotechnical Engineering 33%
• Purity 22%
• Big Data 11%
• Model Validation 11%
• Slope Failure 11%
• Shear Strength 11%
• Soil Mechanics 11%