Study on modeling of multicomponent analysis in propellants products with NIR spectroscopy

Guo Ling Xie; Qian Ren; Shou Long Dong

Study on modeling of multicomponent analysis in propellants products with NIR spectroscopy

Guo Ling Xie^*, Qian Ren, Shou Long Dong

^*Corresponding author for this work

School of Chemistry and Chemical Engineering

Beijing Institute of Technology

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

4 Citations (Scopus)

Abstract

In NIR spectroscopy, most of the variables are uninformative with respect to the given problem. In this context, the different subsets of X to be use of in the PLS regression were selected. The established model decreases the data needed in PLS calculating and increases the computing velocity in PLS regression.

Original language	English
Pages (from-to)	78-80
Number of pages	3
Journal	Huozhayao Xuebao/Chinese Journal of Explosives and Propellants
Volume	26
Issue number	4
Publication status	Published - 2003

Keywords

Energetic material
Infrared spectroscopy (NIR)
Partial least squares (PLS)

Cite this

@article{2b019c7cff72475e871ddaf9a9300df6,

title = "Study on modeling of multicomponent analysis in propellants products with NIR spectroscopy",

abstract = "In NIR spectroscopy, most of the variables are uninformative with respect to the given problem. In this context, the different subsets of X to be use of in the PLS regression were selected. The established model decreases the data needed in PLS calculating and increases the computing velocity in PLS regression.",

keywords = "Energetic material, Infrared spectroscopy (NIR), Partial least squares (PLS)",

author = "Xie, {Guo Ling} and Qian Ren and Dong, {Shou Long}",

year = "2003",

language = "English",

volume = "26",

pages = "78--80",

journal = "Huozhayao Xuebao/Chinese Journal of Explosives and Propellants",

issn = "1007-7812",

publisher = "China Ordnance Industry Corporation",

number = "4",

}

TY - JOUR

T1 - Study on modeling of multicomponent analysis in propellants products with NIR spectroscopy

AU - Xie, Guo Ling

AU - Ren, Qian

AU - Dong, Shou Long

PY - 2003

Y1 - 2003

N2 - In NIR spectroscopy, most of the variables are uninformative with respect to the given problem. In this context, the different subsets of X to be use of in the PLS regression were selected. The established model decreases the data needed in PLS calculating and increases the computing velocity in PLS regression.

AB - In NIR spectroscopy, most of the variables are uninformative with respect to the given problem. In this context, the different subsets of X to be use of in the PLS regression were selected. The established model decreases the data needed in PLS calculating and increases the computing velocity in PLS regression.

KW - Energetic material

KW - Infrared spectroscopy (NIR)

KW - Partial least squares (PLS)

UR - http://www.scopus.com/inward/record.url?scp=19344373113&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:19344373113

SN - 1007-7812

VL - 26

SP - 78

EP - 80

JO - Huozhayao Xuebao/Chinese Journal of Explosives and Propellants

JF - Huozhayao Xuebao/Chinese Journal of Explosives and Propellants

IS - 4

ER -

Study on modeling of multicomponent analysis in propellants products with NIR spectroscopy

Abstract

Keywords

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