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Table of Contents
Introduction
Modern Spectroscopic Analysis Technology
Basis of Matrix and Mathematical Statistics
Preprocessing Methods in Spectroscopy Analysis
Wavelength Variable Selection Method
Spectral Dimensionality Reduction Method
Linear Regression Method
Non-Linear Regression Method
Selection of Representative samples
Outlier Detection Method
Calibration Model Maintenance
Pattern Recognition
Evaluation of Model Performance
Ways to Improve Model Predictive Ability
Multi-spectral Fusion Technology
Multi-way Resolution and Calibration
Calibration Transfer Method
Deep Learning Algorithms
Chemometrics Software and Toolbox
Discussions.
Modern Spectroscopic Analysis Technology
Basis of Matrix and Mathematical Statistics
Preprocessing Methods in Spectroscopy Analysis
Wavelength Variable Selection Method
Spectral Dimensionality Reduction Method
Linear Regression Method
Non-Linear Regression Method
Selection of Representative samples
Outlier Detection Method
Calibration Model Maintenance
Pattern Recognition
Evaluation of Model Performance
Ways to Improve Model Predictive Ability
Multi-spectral Fusion Technology
Multi-way Resolution and Calibration
Calibration Transfer Method
Deep Learning Algorithms
Chemometrics Software and Toolbox
Discussions.