A new and efficient variable selection algorithm based on ant colony optimization. Applications to near infrared spectroscopy/partial least-squares analysis-Reference-Cited by-同舟云学术

A new and efficient variable selection algorithm based on ant colony optimization. Applications to near infrared spectroscopy/partial least-squares analysis

Published:2011-08 Issue:1 Volume:699 Page:18-25
ISSN:0003-2670
Container-title:Analytica Chimica Acta
language:en
Short-container-title:Analytica Chimica Acta

Author:

Allegrini Franco,Olivieri Alejandro C.

Funder

University of Rosario and CONICET

Publisher

Elsevier BV

Subject

Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference41 articles.

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2. PLS-regression: a basic tool of chemometrics

3. Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression, with applications to pyrolysis mass spectrometry

4. Genetic Algorithm-Based Wavelength Selection for the Near-Infrared Determination of Glucose in Biological Matrixes: Initialization Strategies and Effects of Spectral Resolution

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