Boosting partial least-squares discriminant analysis with application to near infrared spectroscopic tea variety discrimination

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成果类型：

期刊论文

作者：

Tan, Shi-Miao;Luo, Rui-Min;Zhou, Yan-Ping*;Xu, Hui;Song, Dan-Dan;...

通讯作者：

Zhou, Yan-Ping

作者机构：

[Song, Dan-Dan; Zhou, Yan-Ping; Luo, Rui-Min; Xu, Hui; Tan, Shi-Miao] Cent China Normal Univ, Coll Chem, Minist Educ, Key Lab Pesticide & Chem Biol, Wuhan 430079, Peoples R China.

[Yang, Tian-Ming] S Cent Univ Nationalities, Coll Pharm, Wuhan 430074, Peoples R China.

[Ze, Tan] Hunan Univ, Coll Chem & Chem Engn, State Key Lab Chemo Biosensing & Chemometr, Changsha 410082, Hunan, Peoples R China.

[Nie, Yan] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.

通讯机构：

[Zhou, Yan-Ping] C

Cent China Normal Univ, Coll Chem, Minist Educ, Key Lab Pesticide & Chem Biol, Wuhan 430079, Peoples R China.

语种：

英文

关键词：

boosting partial least-squares discriminant analysis;near infrared spectroscopy;tea variety discrimination

期刊：

Journal of Chemometrics

ISSN：

0886-9383

年：

2012

卷：

期：

页码：

34-39

DOI：

10.1002/cem.1423

基金类别：

National Natural Science FoundationNational Natural Science Foundation of China (NSFC) [21105035]; CCNU from MOE [CCNU09A01012]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [111016, 20110348]; State Key Laboratory of Chemo/Biosensing and Chemometrics of Hunan University [200910]; Hubei Province Natural Science FoundationNatural Science Foundation of Hubei Province [2010CBB00402]

机构署名：

本校为第一且通讯机构

院系归属：

城市与环境科学学院

化学学院

摘要：

In the present study, boosting has been combined with partial least‐squares discriminant analysis (PLS‐DA) to develop a new pattern recognition method called boosting partial least‐squares discriminant analysis (BPLS‐DA). BPLS‐DA is implemented by firstly constructing a series of PLS‐DA models on the various weighted versions of the original calibration set and then combining the predictions from the constructed PLS‐DA models to obtain the integrative results by weighted majority vote. Coupled with near infrared (NIR) spectroscopy, BPLS‐...

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Boosting partial least-squares discriminant analysis with application to near infrared spectroscopic tea variety discrimination

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