INVESTIGADORES
GOICOECHEA Hector Casimiro
artículos
Título:
A new family of genetic algorithms for wavelength selectio in multivariate analytical spectroscopy
Autor/es:
GOICOECHEA, HÉCTOR C; AC OLIVIERI,
Revista:
JOURNAL OF CHEMOMETRICS
Editorial:
Whiley
Referencias:
Año: 2003 vol. 17 p. 338 - 345
ISSN:
0886-9383
Resumen:
A new procedure is presented for wavelength interval selection with a genetic algorithm in order to
improve the predictive ability of partial least squares multivariate calibration. It involves separately
labelling each of the selected sensor ranges with an appropriate inclusion ranking. The new
approach intends to alleviate overfitting without the need of preparing an independent monitoring
sample set. A theoretical example is worked out in order to compare the performance of the new
approach with previous implementations of genetic algorithms. Two experimental data sets are also
studied: target parameters are the concentration of glucuronic acid in complex mixtures studied by
Fourier transform mid-infrared spectroscopy and the octane number in gasolines monitored by nearinfrared
spectroscopy