Prediction of Adhesion Strength Using Extreme Learning Machine and Support Vector Regression Optimized with Genetic Algorithm

Keyphrases

• Genetic Algorithm 100%
• Adhesion Strength 100%
• Least Squares Support Vector Regression (LSSVR) 100%
• Extreme Learning Machine 100%
• Learning Support 100%
• Support Vector Machine Learning 42%
• Prediction Accuracy 28%
• Linear Regression 28%
• Regression Support Vector Machine 28%
• Coating Performance 28%
• Adhesion 14%
• Quality Characteristics 14%
• Machine Learning Algorithms 14%
• Optimization Algorithm 14%
• Support Vector Machine 14%
• Pullout 14%
• Central Composite Design 14%
• Feed Rate 14%
• Performance Index 14%
• Cutting Speed 14%
• Processing Factor 14%
• SVM Learning 14%
• Machining Optimization 14%
• Grit Size 14%
• Hybrid Support Vector Machine 14%
• Main Effect Plot 14%
• Heat Treatment Process 14%
• Sanding Process 14%

Engineering

• Genetic Algorithm 100%
• Extreme Learning Machine 100%
• Support Vector Machine 100%
• Coating Performance 28%
• Experimental Result 14%
• Process Parameter 14%
• Heat Treatment 14%
• Temperature Time 14%
• Central Composite Design 14%
• Feed Rate 14%
• Cutting Speed 14%
• Process Factor 14%
• Main Effect Plot 14%
• Quality Characteristic 14%
• Learning System 14%

Material Science

• Bond Strength (Materials) 100%
• Heat Treatment 14%
• Performance Index 14%
• Composite Material 14%