Cross-validation for the selection of spectral variables using the successive projections algorithm

被引：56

作者：

Galvao, Roberto Kawakami Harrop ^{[2
]}

Araujo, Mario Cesar Ugulino ^{[1
]}

Silva, Edvan Cirino ^{[1
]}

Jose, Gledson Emidio ^{[1
]}

Soares, Sofacles Figueredo Carreiro ^{[1
]}

Paiva, Henrique Mohallem ^{[3
]}

机构：

[1] Univ Fed Paraiba, Dept Quim, BR-58051970 Joao Pessoa, Paraiba, Brazil

[2] Inst Technol & Aeronaut, Div Engn Eletron, BR-12228900 Sao Jose Dos Campos, SP, Brazil

[3] Empresa Brasileira Aeronaut EMBRAER, Flight Control Syst, BR-12227901 Sao Jose Dos Campos, SP, Brazil

来源：

JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY | 2007年 / 18卷 / 08期

关键词：

multiple linear regression; variable selection; successive projections algorithm; cross-validation; near-infrared spectrometry;

D O I：

10.1590/S0103-50532007000800021

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

This work compares the use of a separate validation set and leave-one-out cross-validation to guide the selection of variables in the Successive Projections Algorithm (SPA) for multivariate calibration. Two case studies involving diesel and corn analysis by NIR spectrometry are presented. A graphical interface for SPA is available at www.ele.ita.br/similar to kawakami/spa/.

引用

页码：1580 / 1584

页数：5

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