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Pattern recognition analysis

B.K. Lavine, H. Mayfield, P.R. Kromann and A. Faruque, Source identification of underground fuel spills by pattern recognition analysis of high-speed gas chromatograms. Anal. Chem., 67 (1995) 3846-3852. [Pg.241]

Similarly, quantitative structure-metabolism relationships (QSMR) have been studied [42]. QSAR tools, such as pattern recognition analysis, have been used to e. g. predict phase II conjugation of substituted benzoic acids in the rat [53]. [Pg.138]

For pattern-recognition analysis, each compound was initially represented by 896 computer-generated molecular descriptors. Before a descriptor could... [Pg.412]

Aishima, T. (1991) Aroma discrimination by pattern recognition analysis of responses from semiconductor gas sensor array. J. Agric. Food Chem. 39 752-756. [Pg.359]

Computers in electrochemistry, 1159, 1162 robotization to control experiments. 1162 pattern recognition analysis, 1162 Condenser, 1117 capacitance of. 861 model of parallel-plate, 873, 875, 961... [Pg.32]

Farrant RD, Lindon JC, Rahr E, Sweatman BC. An automatic data reduction and transfer method to aid pattern recognition analysis and classification of NMR spectra. J Pharm Biomed Anal 1992 10 141-144. [Pg.337]

Polychlorobiphenyls Arochlor 1242, 2143, 1252, 1260 — Simca pattern recognition analysis performed — [304]... [Pg.303]

T.R. Brunner, R.C. Williams, C.L. Wilkins, P.J. McCombie Hadamard Transformed Carbon-13 Nuclear Magnetic Resonance Spectra - Pattern Recognition Analysis, Anal.Chem., 46, (1974), 1798-1802,... [Pg.103]

Duewer, D.L., Kowalski, B.R., and Schatzki, T.F., Source identification of oil spills by pattern recognition analysis of natural elemental composition, Anal. Chem., 47, 1573-1583, 1975. [Pg.516]

There are a number of methods closely related to factor analysis and some of these exploit its capability of being able to abstract from the data the number of independent factors which are operating. This is clearly of value for elucidating complex systems, for spectral analysis of mixtures and may be employed for pattern recognition analysis. [Pg.23]

There is still much that remains to be understood about this phenomenon. Pattern recognition analysis of the individual systems indicates that the signals fall into well defined clusters and that these signals are characteristic for a given system (Fig. 13). There are various models for associating acoustic emission from solids with crack propogation. Still, it may turn out in the long run that the data becomes intractable, or uninterpretable, but even so the present studies serve to illustrate that there is still much to learn and exploit. [Pg.36]

W-O. Kwan, B. R. Kowalski, R. K. Skogerboe, Pattern recognition analysis of elemental data. Wines of vitis vinifera cv. Pinot noir from France and the United States, J. Agric. FoodChem, 27 (1979), 1321-1326. [Pg.131]

S. Rebolo, R. M. Pena, M. J. Latorre, A. M. Botana, C. Herrero, Characterisation of Galician (NW Spain) Ribera Sacra wines using pattern recognition analysis, Anal. [Pg.497]

M. J. Latorre, M. C. Garcia, B. Medina, C. Herrero, Pattern recognition analysis applied to classification of wines from Galicia (Northwestern Spain) with certified brand of origin, J. Agric. Food Chem., 42 (1994), 1451-1455. [Pg.497]

Stetter JR, Jurs PC, Rose SL. 1986. Detection of hazardous gases and vapors Pattern recognition analysis of data from an electrochemical sensor array. Anal Chem 58 860-866. [Pg.417]

For the pyranoses and pyranosides, a relatively large number of high precision X-ray and neutron diffraction results are available. Both a metrical analysis [58] and a pattern recognition analysis [59] were carried out based on a combination of neutron and normalized X-ray structure data. The results of the metrical analysis of the 0H---0 hydrogen-bond geometry are described in Part IB, Chapters 6 and 7. [Pg.187]

For practical reasons, the ideal array consists of the minimum number of sensors/coatings that can adequately represent the data. Thus, coatings exhibiting similar or redundant responses should be eliminated, and those exhibiting unique behavior retained. In terms of pattern-recognition analysis, a coating can... [Pg.314]

Gathering together of a common set of descriptors for each compound under investigation to prepare a data set for pattern recognition analysis. [Pg.110]

Pattern Recognition Analysis. A set of interactive pattern recognition programs have been interfaced to the ADAPT system. [Pg.116]

J.M. Carcellar, R Pascual, J.M. Howells, S.L. Mazucco, R. Griffiths, J.R. Pattern Recognition Analysis of H NMR Spectra from Perchloric Acid Extracts of Human Brain Tumour Biopsies, Magn. Res. Med. 39, 869-877 (1998). [Pg.142]


See other pages where Pattern recognition analysis is mentioned: [Pg.39]    [Pg.44]    [Pg.112]    [Pg.303]    [Pg.71]    [Pg.195]    [Pg.194]    [Pg.400]    [Pg.412]    [Pg.413]    [Pg.413]    [Pg.140]    [Pg.143]    [Pg.46]    [Pg.445]    [Pg.284]    [Pg.340]    [Pg.360]    [Pg.367]    [Pg.372]    [Pg.524]    [Pg.23]    [Pg.110]    [Pg.315]    [Pg.1705]    [Pg.513]    [Pg.1628]   
See also in sourсe #XX -- [ Pg.161 ]

See also in sourсe #XX -- [ Pg.152 ]




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ADAPT pattern recognition analysis

Cluster analysis, pattern recognition technique

Discriminant function analysis , pattern recognition technique

Pattern Recognition I - Unsupervised Analysis

Pattern analysis

Pattern recognition

Pattern recognition components analysis

Pattern recognition exploratory data analysis, chemometric

Pattern recognition factor analysis principal components

Pattern recognition principal components analysis

Principal component analysis , pattern recognition technique

Supervised pattern recognition discriminant analysis

Targeted analysis and pattern recognition

Unsupervised Pattern Recognition Cluster Analysis

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