A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles

Keyphrases

• Bearing Capacity 100%
• XGBoost 100%
• Whale Optimization Algorithm 100%
• XGBoost Regression 100%
• Concrete piles 100%
• Deep Neural Network 66%
• Hybrid Model 66%
• Hybrid Method 33%
• Model Accuracy 33%
• Root Mean Square Error 33%
• Vietnam 33%
• Model Combining 33%
• Static Load Test 33%
• Hidden Layer 33%
• Wilcoxon Signed-rank Test 33%
• Neural Network Regression 33%
• Capacity Prediction 33%
• Model Robustness 33%
• XGBoost Model 33%
• Extreme Gradient Boosting Machine 33%
• Pile Capacity 33%

Engineering

• Bearing Capacity 100%
• Concrete Pile 100%
• Hybrid Model 66%
• Deep Neural Network 66%
• Root Mean Square Error 33%
• Optimal Set 33%
• Hybrid Method 33%
• Static Loading 33%
• Hidden Layer 33%
• Load Test 33%
• Pile Capacity 33%