Qualitative Analysis Model of Near Infrared Spectra of Pork Based on Synergy Interval Partial Least Squares Discriminant Analysis

武小红 Wu Xiaohong; 孙俊 Sun Jun; 武斌 Wu Bin; 唐凯 Tang Kai

doi:10.3788/lop52.043003

Qualitative Analysis Model of Near Infrared Spectra of Pork Based on Synergy Interval Partial Least Squares Discriminant Analysis

Laser & Optoelectronics Progress ◽

10.3788/lop52.043003 ◽

2015 ◽

Vol 52 (4) ◽

pp. 043003 ◽

Cited By ~ 1

Author(s):

武小红 Wu Xiaohong ◽

孙俊 Sun Jun ◽

武斌 Wu Bin ◽

唐凯 Tang Kai

Keyword(s):

Discriminant Analysis ◽

Qualitative Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Near Infrared ◽

Analysis Model ◽

Near Infrared Spectra

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Linear discriminant analysis, partial least squares discriminant analysis, and soft independent modeling of class analogy of experimental and simulated near-infrared spectra of a cultivation medium for mammalian cells

Journal of Chemometrics ◽

10.1002/cem.3005 ◽

2018 ◽

Vol 32 (4) ◽

pp. e3005 ◽

Cited By ~ 5

Author(s):

Éva Szabó ◽

Szilveszter Gergely ◽

András Salgó

Keyword(s):

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Mammalian Cells ◽

Near Infrared ◽

Cultivation Medium ◽

Linear Discriminant ◽

Near Infrared Spectra

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Phenotypic classification of sugarcane from near infrared spectra obtained directly from stalk using ordered predictors selection and partial least squares-discriminant analysis

Proceedings of the 18th International Conference on Near Infrared Spectroscopy ◽

10.1255/nir2017.157 ◽

2019 ◽

pp. 157-161

Author(s):

L.A. Peternelli ◽

M.H.P. Barbosa ◽

J.V. Roque ◽

R.F. Teofilo

Keyword(s):

Discriminant Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Near Infrared ◽

Near Infrared Spectra ◽

Phenotypic Classification

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An improved ensemble partial least squares for analysis of near-infrared spectra

Talanta ◽

10.1016/j.talanta.2012.03.047 ◽

2012 ◽

Vol 94 ◽

pp. 301-307 ◽

Cited By ~ 11

Author(s):

Yong Hu ◽

Silong Peng ◽

Jiangtao Peng ◽

Jiping Wei

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Near Infrared ◽

Near Infrared Spectra

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Populations Structuring of Near Infrared Spectra and Modified Partial Least Squares Regression

Crop Science ◽

10.2135/cropsci1991.0011183x003100060034x ◽

1991 ◽

Vol 31 (6) ◽

pp. 1548-1555 ◽

Cited By ~ 301

Author(s):

John S. Shenk ◽

Mark O. Westerhaus

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Least Squares Regression ◽

Near Infrared Spectra

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Band Assignment of Near-Infrared Spectra of Milk by Use of Partial Least-Squares Regression

Applied Spectroscopy ◽

10.1366/0003702001951002 ◽

2000 ◽

Vol 54 (9) ◽

pp. 1327-1338 ◽

Cited By ~ 40

Author(s):

Slobodan Šašić ◽

Yukihiro Ozaki

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Least Squares Regression ◽

Near Infrared Spectra ◽

Band Assignment

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NATIVE STATE OF METALS IN NON-DIGESTED TISSUES BY PARTIAL LEAST SQUARES REGRESSION ANALYSIS OF VISIBLE AND NEAR-INFRARED SPECTRA

The Journal of Toxicological Sciences ◽

10.2131/jts.32.135 ◽

2007 ◽

Vol 32 (2) ◽

pp. 135-141 ◽

Cited By ~ 7

Author(s):

Akikazu SAKUDO ◽

Etsuro YOSHIMURA ◽

Roumiana TSENKOVA ◽

Kazuyoshi IKUTA ◽

Takashi ONODERA

Keyword(s):

Regression Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Least Squares Regression ◽

Native State ◽

Near Infrared Spectra ◽

State Of Metals

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Key wavelengths selection from near infrared spectra using Monte Carlo sampling–recursive partial least squares

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2013.07.009 ◽

2013 ◽

Vol 128 ◽

pp. 17-24 ◽

Cited By ~ 10

Author(s):

Mingjin Zhang ◽

Shizhi Zhang ◽

Jibran Iqbal

Keyword(s):

Monte Carlo ◽

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Near Infrared ◽

Monte Carlo Sampling ◽

Near Infrared Spectra

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Dual stacked partial least squares for analysis of near-infrared spectra

Analytica Chimica Acta ◽

10.1016/j.aca.2013.07.008 ◽

2013 ◽

Vol 792 ◽

pp. 19-27 ◽

Cited By ~ 7

Author(s):

Yiming Bi ◽

Qiong Xie ◽

Silong Peng ◽

Liang Tang ◽

Yong Hu ◽

...

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Near Infrared ◽

Near Infrared Spectra

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Multiblock partial least squares regression based on wavelet transform for quantitative analysis of near infrared spectra

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2009.09.006 ◽

2010 ◽

Vol 100 (1) ◽

pp. 22-27 ◽

Cited By ~ 34

Author(s):

Ming Jing ◽

Wensheng Cai ◽

Xueguang Shao

Keyword(s):

Wavelet Transform ◽

Quantitative Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Least Squares Regression ◽

Near Infrared Spectra

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Partial Least Squares Processing of Near‐Infrared Spectra for Discrimination and Quantification of Adulterated Olive Oils

Spectroscopy Letters ◽

10.1080/00387010500316189 ◽

2005 ◽

Vol 38 (6) ◽

pp. 839-851 ◽

Cited By ~ 43

Author(s):

Sumaporn Kasemsumran ◽

Naroo Kang ◽

Alfred Christy ◽

Yukihiro Ozaki

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Infrared Spectra ◽

Near Infrared ◽

Olive Oils ◽

Near Infrared Spectra

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