A new family of genetic algorithms for wavelength interval selection in multivariate analytical spectroscopy
Author:
Publisher
Wiley
Subject
Applied Mathematics,Analytical Chemistry
Reference36 articles.
1. Genetic Algorithm-Based Method for Selecting Wavelengths and Model Size for Use with Partial Least-Squares Regression: Application to Near-Infrared Spectroscopy
2. Variable Selection in Multivariate Calibration of a Spectroscopic Glucose Sensor
3. Theoretical Justification of Wavelength Selection in PLS Calibration: Development of a New Algorithm
4. Wavelength Interval Selection in Multicomponent Spectral Analysis by Moving Window Partial Least-Squares Regression with Applications to Mid-Infrared and Near-Infrared Spectroscopic Data
5. Multivariate Calibration (2nd edn). Wiley: Chichester, 1989.
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