These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
167 related articles for article (PubMed ID: 20599647)
1. Prediction of nitrophenol-type compounds using chemometrics and spectrophotometry. Gao L; Ren S Anal Biochem; 2010 Oct; 405(2):184-91. PubMed ID: 20599647 [TBL] [Abstract][Full Text] [Related]
2. Combining orthogonal signal correction and wavelet packet transform with partial least squares to analyze overlapping spectra of three kinds of metal ions. Gao L; Ren S Spectrochim Acta A Mol Biomol Spectrosc; 2009 Sep; 73(5):960-5. PubMed ID: 19505839 [TBL] [Abstract][Full Text] [Related]
3. Improvement of the prediction ability of multivariate calibration by a method based on the combination of data fusion and least squares support vector machines. Ren S; Gao L Analyst; 2011 Mar; 136(6):1252-61. PubMed ID: 21243169 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. [Simultaneous quantitative analysis of three kinds of phenols by Elman recurrent neural network]. Gao L; Shi JX; Ren SX Guang Pu Xue Yu Guang Pu Fen Xi; 2006 Jan; 26(1):117-20. PubMed ID: 16827358 [TBL] [Abstract][Full Text] [Related]
6. [Studies on simultaneous quantitative determination of overlapping spectra using chemometric techniques]. Gao L; Ren SX Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Apr; 28(4):949-52. PubMed ID: 18619338 [TBL] [Abstract][Full Text] [Related]
7. [Simultaneous resolution of overlapped spectra of three kinds of organic compounds using a wavelet packet transform-based generalized regression neural network]. Gao L; Li XP; Ren SX Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Oct; 28(10):2392-5. PubMed ID: 19123414 [TBL] [Abstract][Full Text] [Related]
8. Resolution of overlapping signals in spectrometry using a wavelet packet transform and an Elman recurrent neural network. Ren S; Gao L Anal Bioanal Chem; 2007 May; 388(1):215-25. PubMed ID: 17340076 [TBL] [Abstract][Full Text] [Related]
9. Multivariate calibration of spectrophotometric data using a partial least squares with data fusion. Gao L; Ren S Spectrochim Acta A Mol Biomol Spectrosc; 2010 Aug; 76(3-4):363-8. PubMed ID: 20434392 [TBL] [Abstract][Full Text] [Related]
10. Integrating independent component analysis with artificial neural network to analyze overlapping fluorescence spectra of organic pollutants. Gao L; Ren S J Fluoresc; 2012 Nov; 22(6):1595-602. PubMed ID: 22763927 [TBL] [Abstract][Full Text] [Related]
11. [Quantitative analysis of electronic absorption spectroscopy by piecewise orthogonal signal correction and partial least square]. Cheng Z; Zhu AS; Zhang LQ Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Apr; 28(4):860-4. PubMed ID: 18619316 [TBL] [Abstract][Full Text] [Related]
12. Simultaneous spectrophotometric determination of paracetamol, ibuprofen and caffeine in pharmaceuticals by chemometric methods. Khoshayand MR; Abdollahi H; Shariatpanahi M; Saadatfard A; Mohammadi A Spectrochim Acta A Mol Biomol Spectrosc; 2008 Aug; 70(3):491-9. PubMed ID: 17825606 [TBL] [Abstract][Full Text] [Related]
13. Simultaneous multicomponent analysis of overlapping spectrophotometric signals using a wavelet-based latent variable regression. Gao L; Ren S Spectrochim Acta A Mol Biomol Spectrosc; 2008 Dec; 71(3):959-64. PubMed ID: 18378491 [TBL] [Abstract][Full Text] [Related]
14. Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data? Balabin RM; Lomakina EI Phys Chem Chem Phys; 2011 Jun; 13(24):11710-8. PubMed ID: 21594265 [TBL] [Abstract][Full Text] [Related]
15. Spectrophotometric simultaneous determination of nitrophenol isomers by orthogonal signal correction and partial least squares. Niazi A; Yazdanipour A J Hazard Mater; 2007 Jul; 146(1-2):421-7. PubMed ID: 17445981 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Variable selection in visible/near infrared spectra for linear and nonlinear calibrations: a case study to determine soluble solids content of beer. Liu F; Jiang Y; He Y Anal Chim Acta; 2009 Mar; 635(1):45-52. PubMed ID: 19200477 [TBL] [Abstract][Full Text] [Related]
19. Prediction of wood property in Chinese Fir based on visible/near-infrared spectroscopy and least square-support vector machine. Zhu X; Shan Y; Li G; Huang A; Zhang Z Spectrochim Acta A Mol Biomol Spectrosc; 2009 Oct; 74(2):344-8. PubMed ID: 19576843 [TBL] [Abstract][Full Text] [Related]
20. Effects of nonlinearities and uncorrelated or correlated errors in realistic simulated data on the prediction abilities of augmented classical least squares and partial least squares. Melgaard DK; Haaland DM Appl Spectrosc; 2004 Sep; 58(9):1065-73. PubMed ID: 15479523 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]