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PUBMED FOR HANDHELDS

Journal Abstract Search


141 related items for PubMed ID: 18230211

  • 1. Optimization of principal-component-analysis-applied in situ spectroscopy data using neural networks and genetic algorithms.
    Kim B, Kwon MJ.
    Appl Spectrosc; 2008 Jan; 62(1):73-7. PubMed ID: 18230211
    [Abstract] [Full Text] [Related]

  • 2. Prediction of surface roughness using X-ray photoelectron spectroscopy and neural networks.
    Kim B, Park MG.
    Appl Spectrosc; 2006 Oct; 60(10):1192-7. PubMed ID: 17059673
    [Abstract] [Full Text] [Related]

  • 3. Study on discrimination of Roast green tea (Camellia sinensis L.) according to geographical origin by FT-NIR spectroscopy and supervised pattern recognition.
    Chen Q, Zhao J, Lin H.
    Spectrochim Acta A Mol Biomol Spectrosc; 2009 May; 72(4):845-50. PubMed ID: 19155188
    [Abstract] [Full Text] [Related]

  • 4. Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection.
    Ghosh-Dastidar S, Adeli H, Dadmehr N.
    IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):512-8. PubMed ID: 18269986
    [Abstract] [Full Text] [Related]

  • 5. Genetic algorithm applied to the selection of factors in principal component-artificial neural networks: application to QSAR study of calcium channel antagonist activity of 1,4-dihydropyridines (nifedipine analogous).
    Hemmateenejad B, Akhond M, Miri R, Shamsipur M.
    J Chem Inf Comput Sci; 2003 Feb; 43(4):1328-34. PubMed ID: 12870926
    [Abstract] [Full Text] [Related]

  • 6. [Study of discrimination of corn seed based on near-infrared spectra and artificial neural network model].
    Chen J, Chen X, Li W, Wang JH, Han DH.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Aug; 28(8):1806-9. PubMed ID: 18975808
    [Abstract] [Full Text] [Related]

  • 7. Predicting motor vehicle collisions using Bayesian neural network models: an empirical analysis.
    Xie Y, Lord D, Zhang Y.
    Accid Anal Prev; 2007 Sep; 39(5):922-33. PubMed ID: 17306751
    [Abstract] [Full Text] [Related]

  • 8. Toward an optimal procedure for PC-ANN model building: prediction of the carcinogenic activity of a large set of drugs.
    Hemmateenejad B, Safarpour MA, Miri R, Nesari N.
    J Chem Inf Model; 2005 Sep; 45(1):190-9. PubMed ID: 15667145
    [Abstract] [Full Text] [Related]

  • 9. Principal components analysis competitive learning.
    López-Rubio E, Ortiz-de-Lazcano-Lobato JM, Muñoz-Pérez J, Gómez-Ruiz JA.
    Neural Comput; 2004 Nov; 16(11):2459-81. PubMed ID: 15476607
    [Abstract] [Full Text] [Related]

  • 10. Principal component analysis based on l1-norm maximization.
    Kwak N.
    IEEE Trans Pattern Anal Mach Intell; 2008 Sep; 30(9):1672-80. PubMed ID: 18617723
    [Abstract] [Full Text] [Related]

  • 11. [3-D modeling of origin discrimination of fragrant mushrooms using visible/near infrared spectra].
    Yang HQ, He Y, Chen YM, Lin P, Wu D.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Jun; 28(6):1232-6. PubMed ID: 18800694
    [Abstract] [Full Text] [Related]

  • 12. [Study on discrimination of producing area of olive oil using near infrared spectra based on genetic algorithms].
    Chen YM, Lin P, He Y.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Mar; 29(3):671-4. PubMed ID: 19455796
    [Abstract] [Full Text] [Related]

  • 13. Monitoring storage time and quality attribute of egg based on electronic nose.
    Wang Y, Wang J, Zhou B, Lu Q.
    Anal Chim Acta; 2009 Sep 21; 650(2):183-8. PubMed ID: 19720190
    [Abstract] [Full Text] [Related]

  • 14. Performance evaluation of PCA-based spike sorting algorithms.
    Adamos DA, Kosmidis EK, Theophilidis G.
    Comput Methods Programs Biomed; 2008 Sep 21; 91(3):232-44. PubMed ID: 18565614
    [Abstract] [Full Text] [Related]

  • 15. Online dimensionality reduction using competitive learning and Radial Basis Function network.
    Tomenko V.
    Neural Netw; 2011 Jun 21; 24(5):501-11. PubMed ID: 21420831
    [Abstract] [Full Text] [Related]

  • 16. Nuclear magnetic resonance-based screening of thalassemia and quantification of some hematological parameters using chemometric methods.
    Arjmand M, Kompany-Zareh M, Vasighi M, Parvizzadeh N, Zamani Z, Nazgooei F.
    Talanta; 2010 Jun 15; 81(4-5):1229-36. PubMed ID: 20441889
    [Abstract] [Full Text] [Related]

  • 17. Compressive-projection principal component analysis.
    Fowler JE.
    IEEE Trans Image Process; 2009 Oct 15; 18(10):2230-42. PubMed ID: 19520637
    [Abstract] [Full Text] [Related]

  • 18. Melting point prediction employing k-nearest neighbor algorithms and genetic parameter optimization.
    Nigsch F, Bender A, van Buuren B, Tissen J, Nigsch E, Mitchell JB.
    J Chem Inf Model; 2006 Oct 15; 46(6):2412-22. PubMed ID: 17125183
    [Abstract] [Full Text] [Related]

  • 19. Simultaneous determination of two active components in compound aspirin tablets using principal component artificial neural networks (PC-ANNs) on NIR spectroscopy.
    Dou Y, Qu N, Wang B, Chi YZ, Ren YL.
    Eur J Pharm Sci; 2007 Nov 15; 32(3):193-9. PubMed ID: 17714922
    [Abstract] [Full Text] [Related]

  • 20. [Input layer self-construction neural network and its use in multivariant calibration of infrared spectra].
    Gao JB, Hu XY, Hu DC.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2001 Dec 15; 21(6):772-4. PubMed ID: 12958891
    [Abstract] [Full Text] [Related]


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