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

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

1 цитирование (Scopus)

Выдержка

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.

Язык оригиналаАнглийский
Название основной публикации21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
ИздательSPIE
Том9680
ISBN (электронное издание)9781628419085
DOI
СостояниеОпубликовано - 2015
Опубликовано для внешнего пользованияДа
Событие21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Российская Федерация
Продолжительность: 22 июн 201526 июн 2015

Конференция

Конференция21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
СтранаРоссийская Федерация
ГородTomsk
Период22.6.1526.6.15

Отпечаток

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

ASJC Scopus subject areas

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

Цитировать

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

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

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. в 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. том. 9680, 968049, SPIE, 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Tomsk, Российская Федерация, 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. В 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Том 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. Том 9680 SPIE, 2015.
@inproceedings{932ee922550141cc8b3011fb7194442a,
title = "Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy",
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.",
keywords = "gas mixtures analysis, laser spectroscopy, Principal component analysis, SIMCA, SVM",
author = "Kistenev, {Y. V.} and Shapovalov, {A. V.} and Vrazhnov, {D. A.} and Nikolaev, {V. V.} and Nikiforova, {O. Y.}",
year = "2015",
doi = "10.1117/12.2205777",
language = "English",
volume = "9680",
booktitle = "21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics",
publisher = "SPIE",

}

TY - GEN

T1 - Comparison of classification methods used for analysis of complex biological gas mixtures by means of laser spectroscopy

AU - Kistenev, Y. V.

AU - Shapovalov, A. V.

AU - Vrazhnov, D. A.

AU - Nikolaev, V. V.

AU - Nikiforova, O. Y.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - gas mixtures analysis

KW - laser spectroscopy

KW - Principal component analysis

KW - SIMCA

KW - SVM

UR - http://www.scopus.com/inward/record.url?scp=84963614495&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963614495&partnerID=8YFLogxK

U2 - 10.1117/12.2205777

DO - 10.1117/12.2205777

M3 - Conference contribution

AN - SCOPUS:84963614495

VL - 9680

BT - 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

PB - SPIE

ER -