Genetic Algorithm for Variable and Samples Selection in Multivariate Calibration Problems

Santiago, Kelton de Souza; Soares, Anderson S.; Lima, Telma Woerle de; Coelho, Clarimar José; Gabriel, Paulo Henrique Ribeiro

doi:10.3844/jcssp.2015.621.626

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…Researchers have put great effort in diverse variates selection and elimination methods, among which significant and improved model for robustness and accuracy are obtained eventually. Plenty of researches demonstrate that proper methods or combination of them can effectively balance the model size reduction and capability of prediction performance [16][17][18][19]. 1 shows the absolute value cloud of multiple correlation coefficient of original ultraviolet-visible absorption spectra that ranges from 300nm to 700nm.…”

Section: Resultsmentioning

confidence: 99%

The determination of serum cholesterol concentration with improved differential evolution algorithm based on ultraviolet-visible absorption spectrum

Gui¹,

Zhu²,

Zhu³

et al. 2016

Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

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This article uses the partial least square algorithm and the improved differential evolution algorithm to preprocess the ultraviolet-visible absorption spectral data and build a model for detection of cholesterol concentration in human serum. The result indicates that the wavelet decomposition and the partial least square algorithm can effectively reduce the multiple correlation coefficients. The absorption spectrum is investigated by different basis functions with various pre-processed spectra, and produces the best result with the prediction error of 0.12mmol/L. This study shows that the ultraviolet-visible absorption spectroscopy can offer a feasible research direction for detection and quantitative analysis of cholesterol concentration.

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Section: Resultsmentioning

confidence: 99%

The determination of serum cholesterol concentration with improved differential evolution algorithm based on ultraviolet-visible absorption spectrum

Gui¹,

Zhu²,

Zhu³

et al. 2016

Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

View full text Add to dashboard Cite

show abstract

APPI(+)-FTICR mass spectrometry coupled to partial least squares with genetic algorithm variable selection for prediction of API gravity and CCR of crude oil and vacuum residues

Lozano

Orrego-Ruiz

Hernández

et al. 2017

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Genetic Algorithm for Variable and Samples Selection in Multivariate Calibration Problems

Abstract: This open access article is distributed under a Creative Commons Attribution (CC-BY) 3.0 license.

Cited by 2 publications

References 13 publications

The determination of serum cholesterol concentration with improved differential evolution algorithm based on ultraviolet-visible absorption spectrum

The determination of serum cholesterol concentration with improved differential evolution algorithm based on ultraviolet-visible absorption spectrum

APPI(+)-FTICR mass spectrometry coupled to partial least squares with genetic algorithm variable selection for prediction of API gravity and CCR of crude oil and vacuum residues

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