Genetic algorithm-based wavelength selection method for spectral calibration

被引：126

作者：

Arakawa, Masamoto ^{[1
]}

Yamashita, Yosuke ^{[1
]}

Funatsu, Kimito ^{[1
]}

机构：

[1] Univ Tokyo, Dept Chem Syst Engn, Bunkyo Ku, Tokyo 1138656, Japan

来源：

JOURNAL OF CHEMOMETRICS | 2011年 / 25卷 / 01期

关键词：

visible/near-infrared spectrum; wavelength selection; partial least squares; genetic algorithm; PARTIAL LEAST-SQUARES; NEAR-INFRARED SPECTROSCOPY; REFLECTANCE SPECTROSCOPY; VARIABLE SELECTION; MOVING WINDOW; SOLUBLE SOLIDS; APPLE FRUIT; MULTIVARIATE CALIBRATION; SUGAR CONTENT; REGRESSION;

D O I：

10.1002/cem.1339

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a genetic algorithm-based wavelength selection (GAWLS) method for visible and near-infrared (Vis/NIR) spectral calibration. The objective of GAWLS is to construct robust and predictive regression models by selecting informative wavelength regions. To demonstrate the ability of the proposed method, regression models for soil properties and sugar content of apples are constructed by using GAWLS and other variable selection methods. Copyright (c) 2010 John Wiley & Sons, Ltd.

引用

页码：10 / 19

页数：10

共 60 条

[1] The recent trend in QSAR modeling - Variable selection and 3D-QSAR methods [J].

Arakawa, Masamoto ;

Hasegawa, Kiyoshi ;

Funatsu, Kimito .

CURRENT COMPUTER-AIDED DRUG DESIGN, 2007, 3 (04) :254-262

[2] Genetic algorithm-based method for selecting wavelengths and model size for use with partial least-squares regression: Application to near-infrared spectroscopy [J].

Bangalore, AS ;

Shaffer, RE ;

Small, GW ;

Arnold, MA .

ANALYTICAL CHEMISTRY, 1996, 68 (23) :4200-4212

[3] NTR calibration in non-linear systems:: different PLS approaches and artificial neural networks [J].

Blanco, M ;

Coello, J ;

Iturriaga, H ;

Maspoch, S ;

Pagès, J .

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2000, 50 (01) :75-82

[4]

Breiman L, 1996, MACH LEARN, V24, P49

[5] Comparison between predictions of C and N contents in tropical soils using a Vis-NIR spectrometer including a fibre-optic probe versus a NIR spectrometer including a sample transport module [J].

Brunet, Didier ;

Bernoux, Martial ;

Barthes, Bernard G. .

BIOSYSTEMS ENGINEERING, 2008, 100 (03) :448-452

[6] A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra [J].

Cai, Wensheng ;

Li, Yankun ;

Shao, Xueguang .

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2008, 90 (02) :188-194

[7] Variable selection in near infrared spectra for the biological characterization of soil and earthworm casts [J].

Cecillon, Lauric ;

Cassagne, Nathalie ;

Czarnes, Sonia ;

Gros, Raphael ;

Brun, Jean-Jacques .

SOIL BIOLOGY & BIOCHEMISTRY, 2008, 40 (07) :1975-1979

[8] Theory and application of near infrared reflectance spectroscopy in determination of food quality [J].

Cen, Haiyan ;

He, Yong .

TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2007, 18 (02) :72-83

[9] Elimination of uninformative variables for multivariate calibration [J].

Centner, V ;

Massart, DL ;

deNoord, OE ;

deJong, S ;

Vandeginste, BM ;

Sterna, C .

ANALYTICAL CHEMISTRY, 1996, 68 (21) :3851-3858

[10] Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties [J].

Chang, CW ;

Laird, DA ;

Mausbach, MJ ;

Hurburgh, CR .

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2001, 65 (02) :480-490

← 1 2 3 4 5 6 →