SARATOV FALL MEETING SFM 

© 2022 All Rights Reserved

Application of deep learning and genetic algorithms to the solution of absorbance spectroscopy component analysis of gas mixtures problem

Vladimir V. Prischepa,1 Victor E. Skiba,1 Denis A. Vrazhnov,1,2 1 Tomsk State University, Tomsk, Russia 2 V.E. Zuev Institute of Atmospheric Optics, Siberian Branch of the RAS, Tomsk, Russia

Abstract

A well-known method of algebraic reconstruction applied to the component analysis task of gas mixtures may give poor results because of noisy input data. A brute force method for choosing the most reliable part of the data cannot be used due to large dimensionality. We propose a sequential method based on an evolutionary algorithm for solving component analysis problem. The results are compared with a deep learning method, also developed by the authors.
The research was carried out with the support of a grant under the Decree of the Government of the Russian Federation No. 220 of 09 April 2010 (Agreement No. 075-15-2021-615 of 04 June 2021).

Speaker

Vladimir Prischepa
Tomsk State University
Russia

Report



File with report

Discussion

Ask question