Algorithm for Processing and Analysis of Raman Spectra using Neural Networks

被引：0
|
作者：
E. V. Dyachkov
M. A. Kazaryan
A. V. Obkhodskiy
E. V. Obkhodskaya
A. S. Popov
V. I. Sachkov
机构：
[1] National Research Tomsk State University,Lebedev Physical Institute
[2] Russian Academy of Sciences,undefined
来源：
Bulletin of the Lebedev Physics Institute | 2018年 / 45卷
关键词：
Raman spectra; gas mixture; data processing; neural network; software; parallel computing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：331 / 333
页数：2
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