A Tree-Driven Ensemble Learning Approach to Predict FS Welded Al-6061-T6 Material Behavior

Keyphrases

• Aluminum Alloy 100%
• Material Behavior 100%
• Bagged Tree 100%
• Ensemble Learning Approach 100%
• AA6061-T6 100%
• Motivation 50%
• Machine Learning Approach 50%
• Regressor 50%
• Mechanical Behavior 50%
• Least Squares Support Vector Regression (LSSVR) 50%
• Deformation Rate 50%
• Stress-strain Curve 50%
• Uniaxial Tensile Test 50%
• Machine Learning Models 50%
• Tree Regression 50%
• Tree Regression Model 50%
• Friction Stir Welding 50%

Engineering

• Learning Approach 100%
• Material Behavior 100%
• Stress-Strain Curve 50%
• Base Material 50%
• Tensile Testing 50%
• Regressors 50%
• Friction Stir Welding 50%
• Supports 50%

Material Science

• Aluminum Alloys 100%
• Tensile Testing 50%
• Mechanical Property 50%
• Friction Stir Welding 50%