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

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

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.

D. A. Vrazhnov | Yury V. Kistenev | V. V. Nikolaev | Alexander V. Shapovalov | O. Y. Nikiforova

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