Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

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

In English

Författare

  • 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.

Avdelning/ar

Publiceringsår

2005

Språk

Engelska

Sidor

7091-7097

Publikation/Tidskrift/Serie

Applied Optics

Volym

44

Issue

33

Dokumenttyp

Artikel i tidskrift

Förlag

Optical Society of America

Ämne

  • Atom and Molecular Physics and Optics

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 2155-3165