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  • Journal of Near Infrared Spectroscopy
  • Vol. 6,
  • Issue A,
  • pp. A185-A190
  • (1998)

Use of a Genetic Algorithm for Factor Selection in Principal Component Regression

Volker J. Frost and Karl Molt

Open Access Open Access

Abstract

The critical point in the development of principal component regression (PCR) calibration programs is the automatic factor selection step. In classical methods this is based on a differentiation between primary and secondary factors and other statistical assumptions and criteria. In contrast to this the Genetic Algorithm (GA) used for factor selection in this paper finds the optimal combination of factors without statistical constraints beyond an appropriately chosen fitness function.

© 1998 NIR Publications

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References

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  • Year
  • Author
  • Publication
  1. E.R. Malinowski, , Anal. Chem.  49(4), 606 (1977).
  2. D.B. Hibbert, , Chemometrics and Intelligent Laboratory Systems  19, 277 (1993).
  3. L. Davis, , Handbook of genetic algorithms. Van Nostrand Reinhold, New York, NY 10003, 1st edition (1991).
  4. H. Chung and J.-S. Lee, , and M.-S. Ku, , Proceedings J. Near Infrared Spectrosc.  6(A), XXX (1998).
  5. J. H. Kalivas, , Chemometrics and Intelligent Laboratory Systems  37, 255 (1997).
  6. U. Depczynski and K. Molt, , and A. Niemö1ler, Quantitative analysis of near infrared spectra by wavelet coefficient regression using a genetic algorithm. Conferentia Chemometrica Budapest, 21–23 August (1997).

1998 (1)

H. Chung and J.-S. Lee, , and M.-S. Ku, , Proceedings J. Near Infrared Spectrosc.  6(A), XXX (1998).

H. Chung and J.-S. Lee, , and M.-S. Ku, , Proceedings J. Near Infrared Spectrosc.  6(A), XXX (1998).

1997 (1)

J. H. Kalivas, , Chemometrics and Intelligent Laboratory Systems  37, 255 (1997).

1993 (1)

D.B. Hibbert, , Chemometrics and Intelligent Laboratory Systems  19, 277 (1993).

1977 (1)

E.R. Malinowski, , Anal. Chem.  49(4), 606 (1977).

Chung, H.

H. Chung and J.-S. Lee, , and M.-S. Ku, , Proceedings J. Near Infrared Spectrosc.  6(A), XXX (1998).

Davis, L.

L. Davis, , Handbook of genetic algorithms. Van Nostrand Reinhold, New York, NY 10003, 1st edition (1991).

Depczynski, U.

U. Depczynski and K. Molt, , and A. Niemö1ler, Quantitative analysis of near infrared spectra by wavelet coefficient regression using a genetic algorithm. Conferentia Chemometrica Budapest, 21–23 August (1997).

Hibbert, D.B.

D.B. Hibbert, , Chemometrics and Intelligent Laboratory Systems  19, 277 (1993).

Kalivas, J. H.

J. H. Kalivas, , Chemometrics and Intelligent Laboratory Systems  37, 255 (1997).

Ku, M.-S.

H. Chung and J.-S. Lee, , and M.-S. Ku, , Proceedings J. Near Infrared Spectrosc.  6(A), XXX (1998).

Lee, J.-S.

H. Chung and J.-S. Lee, , and M.-S. Ku, , Proceedings J. Near Infrared Spectrosc.  6(A), XXX (1998).

Malinowski, E.R.

E.R. Malinowski, , Anal. Chem.  49(4), 606 (1977).

Molt, K.

U. Depczynski and K. Molt, , and A. Niemö1ler, Quantitative analysis of near infrared spectra by wavelet coefficient regression using a genetic algorithm. Conferentia Chemometrica Budapest, 21–23 August (1997).

Niemö1ler, A.

U. Depczynski and K. Molt, , and A. Niemö1ler, Quantitative analysis of near infrared spectra by wavelet coefficient regression using a genetic algorithm. Conferentia Chemometrica Budapest, 21–23 August (1997).

Anal. Chem. (1)

E.R. Malinowski, , Anal. Chem.  49(4), 606 (1977).

Chemometrics and Intelligent Laboratory Systems (2)

D.B. Hibbert, , Chemometrics and Intelligent Laboratory Systems  19, 277 (1993).

J. H. Kalivas, , Chemometrics and Intelligent Laboratory Systems  37, 255 (1997).

Proceedings J. Near Infrared Spectrosc. (1)

H. Chung and J.-S. Lee, , and M.-S. Ku, , Proceedings J. Near Infrared Spectrosc.  6(A), XXX (1998).

Other (2)

U. Depczynski and K. Molt, , and A. Niemö1ler, Quantitative analysis of near infrared spectra by wavelet coefficient regression using a genetic algorithm. Conferentia Chemometrica Budapest, 21–23 August (1997).

L. Davis, , Handbook of genetic algorithms. Van Nostrand Reinhold, New York, NY 10003, 1st edition (1991).

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