A laser induced breakdown spectroscopy quantitative analysis method based on the robust least squares support vector machine regression model

Keyphrases

• Support Vector Regression Machine 100%
• Least Squares Support Vector Regression (LSSVR) 100%
• Quantitative Analysis Method 100%
• Weight Function 100%
• Laser-induced Breakdown Spectroscopy 100%
• Robust Least Square Support Vector Machines 100%
• Spectral Data 50%
• Weighted Least Squares Support Vector Machine 50%
• Support Vector Machine 25%
• Prediction Accuracy 25%
• Regression Model 25%
• Residual Error 25%
• Statistical Distribution 25%
• Partial Least Squares Regression 25%
• Convergence Rate 25%
• Comprehensive Performance 25%
• Analysis Accuracy 25%
• Spectral Signal 25%
• Root Mean Square Error 25%
• Model Robustness 25%
• Concentration Analysis 25%
• Elemental Concentration 25%
• Laser Shot 25%
• Relative Standard Deviation 25%
• Data Fluctuation 25%
• Function Failure 25%
• Regression Analysis Model 25%
• Multiple Measurements 25%
• Model Convergence 25%
• Least-Square Support Vector Machine Model 25%
• Error Calculation 25%
• Brass 25%

Engineering

• Support Vector Machine 100%
• Least Squares Method 100%
• Experimental Result 14%
• Statistical Distribution 14%
• Square Regression 14%
• Normal Distribution 14%
• Convergence Speed 14%
• Root Mean Square Error 14%
• Error Calculation 14%