Machine Learning for Concrete Performance Prediction and Intelligent Optimization: A Comprehensive Review
Comparison analysis indicates that ensemble tree-based models—particularly random forest and gradient-boosting variants such as XGBoost—together with well-tuned neural networks consistently achieve the highest predictive accuracy across most concrete properties, whereas limited data availability, inconsistent validatio...