Algorithm for Processing and Analysis of Raman Spectra using Neural Networks


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Abstract

The solution of the problem of processing of a large data set when analyzing Raman spectra of a gas mixture is considered. The algorithm is based on the artificial neural network. Conditions for the use of neural networks in solving practical problems of real-time analyzing spectra, including that for remote search for heavy hydrocarbons are determined. The algorithm speed is estimated using computer aids with sequential and parallel data processing.

About the authors

E. V. Dyachkov

National Research Tomsk State University

Email: kazar@sci.lebedev.ru
Russian Federation, pr. Lenina 30, Tomsk, 634034

M. A. Kazaryan

Lebedev Physical Institute

Author for correspondence.
Email: kazar@sci.lebedev.ru
Russian Federation, Leninskii pr. 53, Moscow, 119991

A. V. Obkhodskiy

National Research Tomsk State University

Email: kazar@sci.lebedev.ru
Russian Federation, pr. Lenina 30, Tomsk, 634034

E. V. Obkhodskaya

National Research Tomsk State University

Email: kazar@sci.lebedev.ru
Russian Federation, pr. Lenina 30, Tomsk, 634034

A. S. Popov

National Research Tomsk State University

Email: kazar@sci.lebedev.ru
Russian Federation, pr. Lenina 30, Tomsk, 634034

V. I. Sachkov

National Research Tomsk State University

Email: kazar@sci.lebedev.ru
Russian Federation, pr. Lenina 30, Tomsk, 634034

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