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Least-squares support vector machines modelization for time-resolved spectroscopy

På svenska

Author

  • F Chauchard
  • S Roussel
  • JM Roger
  • V Bellon-Maurel
  • Christoffer Abrahamsson
  • Tomas Svensson
  • Stefan Andersson-Engels
  • Sune Svanberg

Summary, in English

By use of time-resolved spectroscopy it is possible to separate light scattering effects from chemical absorption effects in samples. In the study of propagation of short light pulses in turbid samples the reduced scattering coefficient and the absorption coefficient are usually obtained by fitting diffusion or Monte Carlo models to the measured data by use of numerical optimization techniques. In this study we propose a prediction model obtained with a semiparametric modeling technique: the least-squares support vector machines. The main advantage of this technique is that it uses theoretical time dispersion curves during the calibration step. Predictions can then be performed by use of data measured on different kinds of sample, such as apples.

Department/s

Publishing year

2005

Language

English

Pages

7091-7097

Publication/Series

Applied Optics

Volume

44

Issue

33

Document type

Journal article

Publisher

Optical Society of America

Topic

  • Atom and Molecular Physics and Optics

Status

Published

ISBN/ISSN/Other

  • ISSN: 2155-3165