Predicting residual properties of ball screw raceway in whirling milling based on machine learning

Keyphrases

• Machine Learning 100%
• Residual Properties 100%
• Whirling Milling 100%
• Ball Screw 100%
• Raceway 100%
• Neural Network 60%
• Support Vector Machine 60%
• Full Width at Half Maximum 40%
• Residual Stress 40%
• Comparative Analysis 20%
• Prediction Accuracy 20%
• Machine Learning Techniques 20%
• Predictive Models 20%
• Comprehensive Research 20%
• Performance Prediction 20%
• Radial Basis Function Neural Network (RBFNN) 20%
• Absolute Relative Error 20%
• Cutting Direction 20%
• Machining Parameters Optimization 20%
• Representative Method 20%
• Back-propagation Artificial Neural Network (BP-ANN) 20%
• Dry Machining 20%
• Model Verification 20%

Engineering

• Learning System 100%
• Support Vector Machine 100%
• Residual Stress 66%
• Comparative Analysis 33%
• Accurate Prediction 33%
• Relative Error 33%
• Prediction Performance 33%
• Radial Basis Function 33%
• Machining Parameter 33%
• Machine Learning Method 33%
• Dry Machining 33%
• Cutting Direction 33%