Improving the resilience of neural network solution of inverse problems in Raman spectroscopy of multi-component solutions of inorganic compounds to the distortions caused by frequency shift of the spectral channels-Reference-Cited by-同舟云学术

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Improving the resilience of neural network solution of inverse problems in Raman spectroscopy of multi-component solutions of inorganic compounds to the distortions caused by frequency shift of the spectral channels

Published:2018-09 Issue: Volume:1096 Page:012100
ISSN:1742-6588
Container-title:Journal of Physics: Conference Series
language:
Short-container-title:J. Phys.: Conf. Ser.

Author:

Isaev I V,Burikov S A,Dolenko T A,Laptinskiy K A,Dolenko S A

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Link

http://stacks.iop.org/1742-6596/1096/i=1/a=012100/pdf

Reference34 articles.

1. Determination of Anions in Natural and Treated Waters

2. Application of Ion Chromatography with ICP-MS or MS Detection to the Determination of Selected Halides and Metal/Metalloids Species

3. Detection of ionic water pollutants by laser excited raman spectroscopy

4. Raman and Infrared Spectroscopic Investigations on Aqueous Alkali Metal Phosphate Solutions and Density Functional Theory Calculations of Phosphate—Water Clusters

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1. I.G. Persiantsev’s Scientific School at the Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics: History of Development and Overview of Key Works;Pattern Recognition and Image Analysis;2023-12

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