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Volumn 95, Issue 2, 2009, Pages 144-149

Multiple regression systems for spectrophotometric data analysis

Author keywords

Chemical component concentration estimation; Data fusion; Multiple regression systems; Radial basis function neural networks; Spectrophotometric variable selection; Spectrophotometry

Indexed keywords

ALCOHOL; SUCROSE;

EID: 58149183806     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2008.10.001     Document Type: Article
Times cited : (28)

References (29)
  • 2
    • 0033056282 scopus 로고    scopus 로고
    • Analytical control of pharmaceutical production steps by near infrared reflectance spectroscopy
    • Blanco M., Coello J., Eustaquio A., Iturriaga H., and Maspoch S. Analytical control of pharmaceutical production steps by near infrared reflectance spectroscopy. Anal. Chim. Acta 392 2-3 (1999) 237-246
    • (1999) Anal. Chim. Acta , vol.392 , Issue.2-3 , pp. 237-246
    • Blanco, M.1    Coello, J.2    Eustaquio, A.3    Iturriaga, H.4    Maspoch, S.5
  • 3
    • 0000213005 scopus 로고
    • Potential of near-infrared Fourier transform Raman spectroscopy in food analysis
    • Ozaki Y., Cho R., Ikegaya K., Muraishi S., and Kawauchi K. Potential of near-infrared Fourier transform Raman spectroscopy in food analysis. Appl. Spectrosc. 46 (1992) 1503-1507
    • (1992) Appl. Spectrosc. , vol.46 , pp. 1503-1507
    • Ozaki, Y.1    Cho, R.2    Ikegaya, K.3    Muraishi, S.4    Kawauchi, K.5
  • 4
    • 0030881258 scopus 로고    scopus 로고
    • Determination of finishing oils in acrylic fibers by Near-Infrared Reflectance Spectroscopy
    • Blanco M., Coello J., Garcia Fraga J.M., Iturriaga H., Maspoch S., and Pagès J. Determination of finishing oils in acrylic fibers by Near-Infrared Reflectance Spectroscopy. Analyst 122 (1999) 777-781
    • (1999) Analyst , vol.122 , pp. 777-781
    • Blanco, M.1    Coello, J.2    Garcia Fraga, J.M.3    Iturriaga, H.4    Maspoch, S.5    Pagès, J.6
  • 6
    • 58149203914 scopus 로고    scopus 로고
    • La spectroscopie infrarouge et ses applications analytiques, Collection Sciences et Techniques Agroalimentaires
    • Bertrand D., and Dufour E. La spectroscopie infrarouge et ses applications analytiques, Collection Sciences et Techniques Agroalimentaires. TEC & DOC editions, Paris. first ed. (2000)
    • (2000) TEC & DOC editions, Paris. first ed.
    • Bertrand, D.1    Dufour, E.2
  • 7
    • 0344141207 scopus 로고    scopus 로고
    • Selection of variables for interpreting multivariate gas sensor data
    • Eklöv T., Mårtensson P., and Lundström I. Selection of variables for interpreting multivariate gas sensor data. Anal. Chim. Acta 381 (1999) 221-232
    • (1999) Anal. Chim. Acta , vol.381 , pp. 221-232
    • Eklöv, T.1    Mårtensson, P.2    Lundström, I.3
  • 8
    • 0037185406 scopus 로고    scopus 로고
    • Some recent trends in the calibration literature
    • Geladi P. Some recent trends in the calibration literature. Chemometr. Intell. Lab. Syst. 60 (2002) 211-224
    • (2002) Chemometr. Intell. Lab. Syst. , vol.60 , pp. 211-224
    • Geladi, P.1
  • 10
    • 0001912153 scopus 로고
    • Comparison of forward selection, backward elimination, and generalized simulated annealing for variable selection
    • Sutter J.M., and Kalivas J.H. Comparison of forward selection, backward elimination, and generalized simulated annealing for variable selection. Microchem. J. 47 (1993) 60
    • (1993) Microchem. J. , vol.47 , pp. 60
    • Sutter, J.M.1    Kalivas, J.H.2
  • 13
    • 1642475168 scopus 로고    scopus 로고
    • Chemometric calibration of infrared spectrometers: selection and validation of variables by non-linear models
    • Benoudjit N., Cools E., Meurens M., and Verleysen M. Chemometric calibration of infrared spectrometers: selection and validation of variables by non-linear models. Chemometr. Intell. Lab. Syst. 70 (2004) 47-53
    • (2004) Chemometr. Intell. Lab. Syst. , vol.70 , pp. 47-53
    • Benoudjit, N.1    Cools, E.2    Meurens, M.3    Verleysen, M.4
  • 15
    • 32944462016 scopus 로고    scopus 로고
    • Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
    • Rossi F., Lendasse A., François D., Wertz V., and Verleysen M. Mutual information for the selection of relevant variables in spectrometric nonlinear modelling. Chemometr. Intell. Lab. Syst. 80 (2006) 215-226
    • (2006) Chemometr. Intell. Lab. Syst. , vol.80 , pp. 215-226
    • Rossi, F.1    Lendasse, A.2    François, D.3    Wertz, V.4    Verleysen, M.5
  • 16
    • 58149194444 scopus 로고    scopus 로고
    • Dataset provided by Prof. Marc Meurens, Université catholique de Louvain, BNUT, meurens@bnut.ucl.ac.be. Dataset available from www.ucl.ac.be/mlg/.
    • Dataset provided by Prof. Marc Meurens, Université catholique de Louvain, BNUT, meurens@bnut.ucl.ac.be. Dataset available from www.ucl.ac.be/mlg/.
  • 17
    • 0345328110 scopus 로고    scopus 로고
    • On the kernel widths in radial-basis function networks
    • Benoudjit N., and Verleysen M. On the kernel widths in radial-basis function networks. Neural Process. Lett. 18 (2003) 139-154
    • (2003) Neural Process. Lett. , vol.18 , pp. 139-154
    • Benoudjit, N.1    Verleysen, M.2
  • 18
    • 12844286965 scopus 로고    scopus 로고
    • Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data
    • Bruzzone L., and Melgani F. Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data. IEEE Trans. Geosci. Remote Sens. 43 1 (January 2005)
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.1
    • Bruzzone, L.1    Melgani, F.2
  • 19
    • 0029372769 scopus 로고
    • Methods for combining expert's probability assessment
    • Jacobs R.A. Methods for combining expert's probability assessment. Neural Comput. 7 (1995) 867-888
    • (1995) Neural Comput. , vol.7 , pp. 867-888
    • Jacobs, R.A.1
  • 20
    • 0002843594 scopus 로고
    • The consensus of subjective probability distributions
    • Winkler R.L. The consensus of subjective probability distributions. Manage. Sci. 15 (1968) B.61-B.75
    • (1968) Manage. Sci. , vol.15
    • Winkler, R.L.1
  • 23
    • 0032675169 scopus 로고    scopus 로고
    • A principal components approach to combining regression estimates
    • Merz C.J., and Pazzani M.J. A principal components approach to combining regression estimates. Mach. Learn. 36 1-2 (1999) 9-32
    • (1999) Mach. Learn. , vol.36 , Issue.1-2 , pp. 9-32
    • Merz, C.J.1    Pazzani, M.J.2
  • 24
    • 0031753758 scopus 로고    scopus 로고
    • Detection of nonlinearity in multivariate calibration
    • Centner V., Noord O.E., and Massart D.L. Detection of nonlinearity in multivariate calibration. Anal. Chim. Acta 376 (1998) 153-168
    • (1998) Anal. Chim. Acta , vol.376 , pp. 153-168
    • Centner, V.1    Noord, O.E.2    Massart, D.L.3
  • 25
    • 0007491101 scopus 로고
    • Sources of non-linearity in near-infrared methods
    • Miller C.E. Sources of non-linearity in near-infrared methods. NIR News 4 6 (1993) 3-5
    • (1993) NIR News , vol.4 , Issue.6 , pp. 3-5
    • Miller, C.E.1
  • 26
    • 0001002401 scopus 로고
    • Approximation and radial basis function networks
    • Park J., and Sandberg I. Approximation and radial basis function networks. Neural Comput. 5 (1993) 305-316
    • (1993) Neural Comput. , vol.5 , pp. 305-316
    • Park, J.1    Sandberg, I.2
  • 27
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • Poggio T., and Girosi F. Networks for approximation and learning. Proc. I.E.E.E. 78 9 (1990) 1481-1497
    • (1990) Proc. I.E.E.E. , vol.78 , Issue.9 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 28
    • 0003599567 scopus 로고    scopus 로고
    • Introduction to radial basis functions networks
    • www.anc.ed.ac.uk/~mjo/papers/intro.ps.
    • Orr M.J. Introduction to radial basis functions networks. Technical Reports (April 1996). http://www.anc.ed.ac.uk/~mjo/papers/intro.ps www.anc.ed.ac.uk/~mjo/papers/intro.ps.
    • (1996) Technical Reports
    • Orr, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.