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Application of DPLS-Based LDA in Corn Qualitative Near Infrared Spectroscopy Analysis
Qin H; Wang HR; Li WJ; Jin XX; Li, WJ (reprint author), Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China, qinh@semi.ac.cn; wjli@semi.ac.cn
2011
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
ISSN1000-0593
Volume31Issue:7Pages:1777-1781
AbstractNIR technology is a rapid, nondestructive and user-friendly method ideally suited for Qualitative analysis. In this paper the authors present the use of discriminant partial least Squares (DPLS)-based linear discriminant analysis (LDA) in corn qualitative near infrared spectroscopy analysis. Firstly, a training set including 30 corn varieties (each variety has 20 samples) was used to build the DPLS regression model, and 28 principal components (DPLS-PCs) were obtained from original spectrum. Secondly, the DPLS-PCs scores of the training set were extracted as DPLS features. Thirdly, LDA was applied to the DPLS features, determining 26 principal components (LDA-PCs). A test sample was first projected onto the DPLS-PCs and then onto the LDA-PCs, and finally 26 DPLS+LDA features were obtained. The recognition results were obtained by minimum distance classifier. DPLS+LDA method achieved 96. 18% recognition rate, while traditional DPLS regression method and DPLS feature extraction method only achieved 85. 38% and 95. 76% recognition rate respectively. The experiment results indicated that DPLS +LDA method is with better generalization ability compared with traditional DPLS regression method and NIRS analysis by DPLS+LDA method is an efficient way to discriminate corn species.
metadata_83半导体人工神经网络实验室
KeywordFast Discrimination Varieties Spectra
Subject Area人工智能
Indexed BySCI
Language英语
Date Available2012-01-06
Document Type期刊论文
Identifierhttp://ir.semi.ac.cn/handle/172111/22719
Collection半导体人工神经网络实验室
Corresponding AuthorLi, WJ (reprint author), Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China, qinh@semi.ac.cn; wjli@semi.ac.cn
Recommended Citation
GB/T 7714
Qin H,Wang HR,Li WJ,et al. Application of DPLS-Based LDA in Corn Qualitative Near Infrared Spectroscopy Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2011,31(7):1777-1781.
APA Qin H,Wang HR,Li WJ,Jin XX,Li, WJ ,&wjli@semi.ac.cn.(2011).Application of DPLS-Based LDA in Corn Qualitative Near Infrared Spectroscopy Analysis.SPECTROSCOPY AND SPECTRAL ANALYSIS,31(7),1777-1781.
MLA Qin H,et al."Application of DPLS-Based LDA in Corn Qualitative Near Infrared Spectroscopy Analysis".SPECTROSCOPY AND SPECTRAL ANALYSIS 31.7(2011):1777-1781.
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