Interpretable Machine Learning for Prediction of Post-Fire Self-Healing of Concrete

Keyphrases

• Interpretable Machine Learning 100%
• Model Interpretation 66%
• Peak Loading 66%
• Curing Regime 66%
• Regression Tree Ensemble 66%
• Temperature Curing 33%
• Model Selection 33%
• Concrete Age 33%
• Intelligence Learning 33%
• Mechanical Properties of Concrete 33%
• Temperature Cooling 33%
• Partial Dependence Plot 33%
• Artificial Neural Network 33%
• Large Database 33%
• Individual Conditional Expectation Plots 33%
• Monte Carlo Analysis 33%
• Efficiency Indicators 33%
• Black-box Method 33%
• Regression Tree 33%
• Engineering Contractors 33%
• Accurate Model 33%
• Regression Tree Model 33%
• Cooling Regime 33%
• Neural Ensemble 33%
• High-precision Prediction 33%
• Coarse Aggregate 33%
• Fine Aggregate 33%
• Temperature Duration 33%
• Least Squares Support Vector Regression (LSSVR) 33%
• Machine Learning Applications 33%

Material Science

• Compressive Strength 100%
• Cementitious Material 100%
• Properties of Concrete 100%

Engineering

• Powerful Tool 20%
• Fine Aggregate 20%
• Curing Temperature 20%
• Coarse Aggregate 20%
• Self Healing Concrete 20%
• Learning Approach 20%
• Artificial Neural Network 20%
• Conditional Expectation 20%
• Machine Learning Method 20%
• Error Performance 20%
• Black-Box Method 20%
• Model Tree 20%
• Monte Carlo Analysis 20%
• Efficiency Indicator 20%