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

^*此作品的通讯作者

化学与化工学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	78-80
页数	3
期刊	Huozhayao Xuebao/Chinese Journal of Explosives and Propellants
卷	26
期	4
出版状态	已出版 - 2003

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引用此

@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",

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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

摘要

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