Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy

Y. V. Kistenev, A. V. Shapovalov, D. A. Vrazhnov, V. V. Nikolaev, O. Y. Nikiforova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The results of comparison of quality of two classificators-SVM (support vector machine) and SIMCA (soft independent modelling of class analogies) on model data contained profiles of absorbtion specra of exhalted air are presented. It is shown, that SVM classification results can be improved by preprocessing if input data with principal component analysis method.

Original languageEnglish
Title of host publication21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
PublisherSPIE
Volume9680
ISBN (Electronic)9781628419085
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Russian Federation
Duration: 22 Jun 201526 Jun 2015

Conference

Conference21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
CountryRussian Federation
CityTomsk
Period22.6.1526.6.15

Fingerprint

Laser Spectroscopy
Laser spectroscopy
Gas Mixture
preprocessing
principal components analysis
laser spectroscopy
Gas mixtures
Principal component analysis
Support vector machines
gas mixtures
air
profiles
Air
Data Model
Principal Component Analysis
Preprocessing
Analogy
Support Vector Machine
Modeling
Class

Keywords

  • gas mixtures analysis
  • laser spectroscopy
  • Principal component analysis
  • SIMCA
  • SVM

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Kistenev, Y. V., Shapovalov, A. V., Vrazhnov, D. A., Nikolaev, V. V., & Nikiforova, O. Y. (2015). Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy. In 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (Vol. 9680). [968049] SPIE. https://doi.org/10.1117/12.2205777

Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy. / Kistenev, Y. V.; Shapovalov, A. V.; Vrazhnov, D. A.; Nikolaev, V. V.; Nikiforova, O. Y.

21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Vol. 9680 SPIE, 2015. 968049.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kistenev, YV, Shapovalov, AV, Vrazhnov, DA, Nikolaev, VV & Nikiforova, OY 2015, Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy. in 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. vol. 9680, 968049, SPIE, 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Tomsk, Russian Federation, 22.6.15. https://doi.org/10.1117/12.2205777
Kistenev YV, Shapovalov AV, Vrazhnov DA, Nikolaev VV, Nikiforova OY. Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy. In 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Vol. 9680. SPIE. 2015. 968049 https://doi.org/10.1117/12.2205777
Kistenev, Y. V. ; Shapovalov, A. V. ; Vrazhnov, D. A. ; Nikolaev, V. V. ; Nikiforova, O. Y. / Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy. 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Vol. 9680 SPIE, 2015.
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