Prediction of Load Capacities of Closed-Ended Piles Using Boosting Machine Learning Methods

Keyphrases

• Machine Learning Techniques 100%
• Load Capacity 100%
• Closed-ended pile 100%
• Boosting Learning 100%
• Machine Learning Algorithms 50%
• Number of Features 50%
• Shapley Value 50%
• Prediction Accuracy 25%
• Cross-sectional Area 25%
• Selected Features 25%
• Prediction Tool 25%
• Order of Accuracy 25%
• Optimum number 25%
• Goodness-of-fit 25%
• Data-driven Model 25%
• Bearing Capacity 25%
• Boosting Algorithm 25%
• Boosting Method 25%
• Full-scale Load Test 25%
• Tip Resistance 25%
• Ultimate Bearing Capacity 25%
• Pile Capacity 25%
• Prediction Process 25%
• Minimum number 25%
• Comprehensive Dataset 25%

Engineering

• Machine Learning Method 100%
• Load Capacity 100%
• Bearing Capacity 100%
• Machine Learning Algorithm 66%
• Cross Section 33%
• Full Scale 33%
• Scale Load 33%
• Accurate Prediction 33%
• Optimum Number 33%
• Load Test 33%
• Test Data 33%
• Section Area 33%
• Pile Capacity 33%
• Soil Side 33%

Chemical Engineering

• Learning System 100%