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Volumn 2005, Issue , 2005, Pages 596-603

Parallel and Multi-objective EDAs to create multivariate calibration models for quantitative chemical applications

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION OF DISTRIBUTION ALGORITHMS (EDAS); INPUT VARIABLES; MULTI-OBJECTIVE; QUANTITATIVE CHEMISTRY;

EID: 33745190512     PISSN: 15302016     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPPW.2005.64     Document Type: Conference Paper
Times cited : (3)

References (19)
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    • M. Ben-Bassat. Use of distance measures, information measures and error bounds in feature evaluation. In P. R. Krishnaiah and L. N. Kanal, editors, Handbook of Statistics, volume 2, pages 773-791. North-Holland Publishing Company, 1982.
    • (1982) Handbook of Statistics , vol.2 , pp. 773-791
    • Ben-Bassat, M.1
  • 2
    • 27144519762 scopus 로고    scopus 로고
    • Feature subset selection, class separability, and genetic algorithms
    • K. D. et al. editor Berlin. Springer Verlag
    • E. Cantú-Paz. Feature subset selection, class separability, and genetic algorithms. In K. D. et al. editor, Proceedings of the Genetic and Evolutionary Computation Conference GECCO-04, volume 2, pages 959-970, Berlin, 2004. Springer Verlag.
    • (2004) Proceedings of the Genetic and Evolutionary Computation Conference GECCO-04 , vol.2 , pp. 959-970
    • Cantú-Paz, E.1
  • 3
    • 0037379641 scopus 로고    scopus 로고
    • Evolving neural networks to identify bent-double galaxies in the first survey
    • E. Cantú-Paz and C. Kamath. Evolving neural networks to identify bent-double galaxies in the first survey. Neural Networks, 16:507-517, 2003.
    • (2003) Neural Networks , vol.16 , pp. 507-517
    • Cantú-Paz, E.1    Kamath, C.2
  • 4
    • 0041481252 scopus 로고    scopus 로고
    • Adjusting weights in artificial neural networks using evolutionary algorithms
    • P. Larrañaga and J. A. Lozano, editors Kluwer Academic Publishers
    • C, Cotta, E. Alba, R. Sagarna, and P. Larrañaga. Adjusting weights in artificial neural networks using evolutionary algorithms. In P. Larrañaga and J. A. Lozano, editors, Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pages 361-377, Kluwer Academic Publishers, 2002.
    • (2002) Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation , pp. 361-377
    • Cotta, C.1    Alba, E.2    Sagarna, R.3    Larrañaga, P.4
  • 8
    • 17744402661 scopus 로고    scopus 로고
    • Feature subset selection by Bayesian networks based optimization
    • 1. Inza, P. Larrañaga, R. Etxeberria, and B. Sierra. Feature subset selection by Bayesian networks based optimization. Artificial Intelligence, 123(1-2):157-184, 2000.
    • (2000) Artificial Intelligence , vol.123 , Issue.1-2 , pp. 157-184
    • Inza, I.1    Larrañaga, P.2    Etxeberria, R.3    Sierra, B.4
  • 9
    • 33745204039 scopus 로고    scopus 로고
    • Feature subset selection by estimation of distribution algorithms
    • P. Larrañaga and J. A. Lozano, editors. Kluwer Academic Publishers
    • I. Inza, P. Larrañaga, and B. Sierra. Feature Subset Selection by Estimation of Distribution Algorithms. In P. Larrañaga and J. A. Lozano, editors, Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pages 269-294. Kluwer Academic Publishers, 2002.
    • (2002) Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation , pp. 269-294
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  • 17
    • 0022471098 scopus 로고
    • Learning representations by backpropagating errors
    • D. E. Rumelhart, G. E. Hinton, and R. J. Williams. Learning representations by backpropagating errors. Nature, 323:533-536, 1986.
    • (1986) Nature , vol.323 , pp. 533-536
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  • 18
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • G. Schwarz. Estimating the dimension of a model. Annals of Statistics, 7(2):461-464, 1978.
    • (1978) Annals of Statistics , vol.7 , Issue.2 , pp. 461-464
    • Schwarz, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.