Linear projection based on noise variance estimation - application to spectral data

ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

Volumn , Issue , 2008, Pages 457-462

  Lendasse, Amaury ^a   Corona, Francesco ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

FOOD INDUSTRIES; INPUT AND OUTPUTS; LATENT VARIABLE; LINEAR PROJECTIONS; NOISE VARIANCE ESTIMATION; NON-LINEAR MODEL; NON-PARAMETRIC NOISE; SPECTRAL DATA;

OPTIMIZATION;

NEURAL NETWORKS;

EID: 84887013346     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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3. Haykin S. Neural Networks: A Comprehensive Foundation. Prentice Hall, New York, second edition, 1999.
4. Jones A. New tools in non-linear modeling and prediction. Computational Management Science, 1:109-149, 2004.
5. Rossi F., Lendasse A., Francois D., Wertz V., and Verleysen M. Mutual information for the selection of relevant variables in spectrometric nonlinear modelling. Chemometrics and Intelligent Laboratory Systems, 80(2):215-226, 2006.