1124 related articles for article (PubMed ID: 23265476)
1. Rapid detecting total acid content and classifying different types of vinegar based on near infrared spectroscopy and least-squares support vector machine.
Ji-yong S; Xiao-bo Z; Xiao-wei H; Jie-wen Z; Yanxiao L; Limin H; Jianchun Z
Food Chem; 2013 May; 138(1):192-9. PubMed ID: 23265476
[TBL] [Abstract][Full Text] [Related]
2. [Fast detection of sugar content in fruit vinegar using NIR spectroscopy].
Wang L; Li ZF; He Y; Liu F
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Aug; 28(8):1810-3. PubMed ID: 18975809
[TBL] [Abstract][Full Text] [Related]
3. Qualitative identification of tea categories by near infrared spectroscopy and support vector machine.
Zhao J; Chen Q; Huang X; Fang CH
J Pharm Biomed Anal; 2006 Jun; 41(4):1198-204. PubMed ID: 16621404
[TBL] [Abstract][Full Text] [Related]
4. Rapid measurement of total acid content (TAC) in vinegar using near infrared spectroscopy based on efficient variables selection algorithm and nonlinear regression tools.
Chen Q; Ding J; Cai J; Zhao J
Food Chem; 2012 Nov; 135(2):590-5. PubMed ID: 22868133
[TBL] [Abstract][Full Text] [Related]
5. Prediction of enological parameters and discrimination of rice wine age using least-squares support vector machines and near infrared spectroscopy.
Yu H; Lin H; Xu H; Ying Y; Li B; Pan X
J Agric Food Chem; 2008 Jan; 56(2):307-13. PubMed ID: 18167072
[TBL] [Abstract][Full Text] [Related]
6. Simultaneous measurement of total acid content and soluble salt-free solids content in Chinese vinegar using near-infrared spectroscopy.
Chen Q; Ding J; Cai J; Sun Z; Zhao J
J Food Sci; 2012 Feb; 77(2):C222-7. PubMed ID: 22250960
[TBL] [Abstract][Full Text] [Related]
7. Comparison of calibrations for the determination of soluble solids content and pH of rice vinegars using visible and short-wave near infrared spectroscopy.
Liu F; He Y; Wang L
Anal Chim Acta; 2008 Mar; 610(2):196-204. PubMed ID: 18291129
[TBL] [Abstract][Full Text] [Related]
8. Discrimination of raw and processed Dipsacus asperoides by near infrared spectroscopy combined with least squares-support vector machine and random forests.
Xin N; Gu XF; Wu H; Hu YZ; Yang ZL
Spectrochim Acta A Mol Biomol Spectrosc; 2012 Apr; 89():18-24. PubMed ID: 22240232
[TBL] [Abstract][Full Text] [Related]
9. Use of visible and near infrared spectroscopy and least squares-support vector machine to determine soluble solids content and pH of cola beverage.
Liu F; He Y
J Agric Food Chem; 2007 Oct; 55(22):8883-8. PubMed ID: 17960870
[TBL] [Abstract][Full Text] [Related]
10. Determination of effective wavelengths for discrimination of fruit vinegars using near infrared spectroscopy and multivariate analysis.
Liu F; He Y; Wang L
Anal Chim Acta; 2008 May; 615(1):10-7. PubMed ID: 18440358
[TBL] [Abstract][Full Text] [Related]
11. [Fast detection of white vinegar varieties and pH by Vis/NIR spectroscopy].
Wang L; Liu F; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Apr; 28(4):813-6. PubMed ID: 18619305
[TBL] [Abstract][Full Text] [Related]
12. Support vector machine regression (SVR/LS-SVM)--an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data.
Balabin RM; Lomakina EI
Analyst; 2011 Apr; 136(8):1703-12. PubMed ID: 21350755
[TBL] [Abstract][Full Text] [Related]
13. Feasibility study on identification of green, black and Oolong teas using near-infrared reflectance spectroscopy based on support vector machine (SVM).
Chen Q; Zhao J; Fang CH; Wang D
Spectrochim Acta A Mol Biomol Spectrosc; 2007 Mar; 66(3):568-74. PubMed ID: 16859975
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of chemical components and properties of the jujube fruit using near infrared spectroscopy and chemometrics.
Guo Y; Ni Y; Kokot S
Spectrochim Acta A Mol Biomol Spectrosc; 2016 Jan; 153():79-86. PubMed ID: 26296251
[TBL] [Abstract][Full Text] [Related]
15. [Application of infrared spectroscopy technique to protein content fast measurement in milk powder based on support vector machines].
Wu D; Cao F; Feng SJ; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 May; 28(5):1071-5. PubMed ID: 18720804
[TBL] [Abstract][Full Text] [Related]
16. Classification of washing powder brands using near-infrared spectroscopy combined with chemometric calibrations.
Zhang H; Yang Q; Lu J
Spectrochim Acta A Mol Biomol Spectrosc; 2014; 120():625-9. PubMed ID: 24291514
[TBL] [Abstract][Full Text] [Related]
17. Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage.
Gholivand MB; Jalalvand AR; Goicoechea HC; Skov T
Talanta; 2014 Feb; 119():553-63. PubMed ID: 24401455
[TBL] [Abstract][Full Text] [Related]
18. [Application of successive projections algorithm to nondestructive determination of total amino acids in oilseed rape leaves].
Liu F; Zhang F; Fang H; Jin ZL; Zhou WJ; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Nov; 29(11):3079-83. PubMed ID: 20101990
[TBL] [Abstract][Full Text] [Related]
19. Classification of raw and roasted Semen Cassiae samples with the use of Fourier transform infrared fingerprints and least squares support vector machines.
Lai Y; Ni Y; Kokot S
Appl Spectrosc; 2010 Jun; 64(6):649-56. PubMed ID: 20537233
[TBL] [Abstract][Full Text] [Related]
20. Quantitative analysis of routine chemical constituents in tobacco by near-infrared spectroscopy and support vector machine.
Zhang Y; Cong Q; Xie Y; JingxiuYang ; Zhao B
Spectrochim Acta A Mol Biomol Spectrosc; 2008 Dec; 71(4):1408-13. PubMed ID: 18538628
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
