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

Analytica Chimica Acta

Volumn 699, Issue 1, 2011, Pages 18-25

  Allegrini, Franco ^a   Olivieri, Alejandro C ^a  

^a Universidad Nacional de Rosario   (Argentina)

Author keywords

Ant colony optimization; Near infrared spectroscopy; Partial least squares regression; Variable selection

Indexed keywords

ACO ALGORITHMS; ANALYTE CONCENTRATION; ANT-COLONY OPTIMIZATION; CHEMOMETRICES; EXPERIMENTAL DATA; FIGURES OF MERITS; LEAST SQUARES ANALYSIS; MONTE CARLO APPROACH; MULTIVARIATE CALIBRATION TECHNIQUE; NEAR INFRARED; PARTIAL LEAST-SQUARES REGRESSION; PLS MODELS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS; SELECTION METHODS; SIMULATED SYSTEM; VARIABLE SELECTION; VARIABLE SELECTION ALGORITHMS; WAVELENGTH SELECTION;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL CHEMISTRY; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; MONTE CARLO METHODS; NEAR INFRARED SPECTROSCOPY; OPTIMIZATION; SPECTROSCOPIC ANALYSIS;

ALGORITHMS;

ALGORITHM; ANT COLONY OPTIMIZATION; ARTICLE; GENETIC ALGORITHM; INTERMETHOD COMPARISON; MONTE CARLO METHOD; NEAR INFRARED SPECTROSCOPY; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; VARIABLE SELECTION; WAVEFORM;

ALGORITHMS; ANIMALS; ANTS; LEAST-SQUARES ANALYSIS; MONTE CARLO METHOD; SPECTROSCOPY, NEAR-INFRARED;

EID: 79959531977     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2011.04.061     Document Type: Article

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