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

Аннотация

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 оригинала	Английский
Название основной публикации	21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Издатель	SPIE
Том	9680
ISBN (электронное издание)	9781628419085
DOI	https://doi.org/10.1117/12.2205777
Состояние	Опубликовано - 2015
Опубликовано для внешнего пользования	Да
Событие	21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Российская Федерация Продолжительность: 22 июн 2015 → 26 июн 2015

Конференция

Конференция	21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Страна	Российская Федерация
Город	Tomsk
Период	22.6.15 → 26.6.15

ASJC Scopus subject areas

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

Доступ к документу

10.1117/12.2205777

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Цитировать

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 отчетов › Материалы 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

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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.}",

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AU - Nikolaev, V. V.

AU - Nikiforova, O. Y.

PY - 2015

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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.

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KW - laser spectroscopy

KW - Principal component analysis

KW - SIMCA

KW - SVM

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