Quantitative analysis of cefalexin based on artificial neural networks combined with modified genetic algorithm using short near-infrared spectroscopy

Yanfu Huan; Guodong Feng; Bin Wang; Yulin Ren; Qiang Fei

doi:10.1016/j.saa.2013.02.047

Quantitative analysis of cefalexin based on artificial neural networks combined with modified genetic algorithm using short near-infrared spectroscopy

Yanfu Huan
, Guodong Feng
, Bin Wang
, Yulin Ren
, Qiang Fei

Jilin University

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

In this paper, a novel chemometric method was developed for rapid, accurate, and quantitative analysis of cefalexin in samples. The experiments were carried out by using the short near-infrared spectroscopy coupled with artificial neural networks. In order to enhancing the predictive ability of artificial neural networks model, a modified genetic algorithm was used to select fixed number of wavelength.

Original language	English
Pages (from-to)	308-312
Number of pages	5
Journal	Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Volume	109
DOIs	https://doi.org/10.1016/j.saa.2013.02.047
State	Published - 15 May 2013
Externally published	Yes

Keywords

Artificial neural networks
Cefalexin
Genetic algorithm
Short near-infrared spectroscopy
Wavelength selection

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10.1016/j.saa.2013.02.047

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title = "Quantitative analysis of cefalexin based on artificial neural networks combined with modified genetic algorithm using short near-infrared spectroscopy",

abstract = "In this paper, a novel chemometric method was developed for rapid, accurate, and quantitative analysis of cefalexin in samples. The experiments were carried out by using the short near-infrared spectroscopy coupled with artificial neural networks. In order to enhancing the predictive ability of artificial neural networks model, a modified genetic algorithm was used to select fixed number of wavelength.",

keywords = "Artificial neural networks, Cefalexin, Genetic algorithm, Short near-infrared spectroscopy, Wavelength selection",

author = "Yanfu Huan and Guodong Feng and Bin Wang and Yulin Ren and Qiang Fei",

year = "2013",

month = may,

day = "15",

doi = "10.1016/j.saa.2013.02.047",

language = "英语",

volume = "109",

pages = "308--312",

journal = "Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy",

issn = "1386-1425",

publisher = "Elsevier B.V.",

}

Quantitative analysis of cefalexin based on artificial neural networks combined with modified genetic algorithm using short near-infrared spectroscopy. / Huan, Yanfu; Feng, Guodong; Wang, Bin et al.
In: Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, Vol. 109, 15.05.2013, p. 308-312.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Quantitative analysis of cefalexin based on artificial neural networks combined with modified genetic algorithm using short near-infrared spectroscopy

AU - Huan, Yanfu

AU - Feng, Guodong

AU - Wang, Bin

AU - Ren, Yulin

AU - Fei, Qiang

PY - 2013/5/15

Y1 - 2013/5/15

N2 - In this paper, a novel chemometric method was developed for rapid, accurate, and quantitative analysis of cefalexin in samples. The experiments were carried out by using the short near-infrared spectroscopy coupled with artificial neural networks. In order to enhancing the predictive ability of artificial neural networks model, a modified genetic algorithm was used to select fixed number of wavelength.

AB - In this paper, a novel chemometric method was developed for rapid, accurate, and quantitative analysis of cefalexin in samples. The experiments were carried out by using the short near-infrared spectroscopy coupled with artificial neural networks. In order to enhancing the predictive ability of artificial neural networks model, a modified genetic algorithm was used to select fixed number of wavelength.

KW - Artificial neural networks

KW - Cefalexin

KW - Genetic algorithm

KW - Short near-infrared spectroscopy

KW - Wavelength selection

UR - https://www.scopus.com/pages/publications/84875396880

U2 - 10.1016/j.saa.2013.02.047

DO - 10.1016/j.saa.2013.02.047

M3 - 文章

C2 - 23545436

AN - SCOPUS:84875396880

SN - 1386-1425

VL - 109

SP - 308

EP - 312

JO - Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy

JF - Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy

ER -

Quantitative analysis of cefalexin based on artificial neural networks combined with modified genetic algorithm using short near-infrared spectroscopy

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Keywords

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