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Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, 2011, Volume 11, Issue 1, Pages 105–111
DOI: https://doi.org/10.18500/1816-9791-2011-11-1-105-111 (Mi isu209) 		 
Computer science

The application of artificial neural networks to identification of some amino acids in binary mixtures

O. I. Aravin, A. Yu. Novikov, E. I. Selifonova, R. K. Chernova, S. P. Shevyrev

Saratov State University
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DOI: https://doi.org/10.18500/1816-9791-2011-11-1-105-111
Abstract: The paper develops the technique of applying the method of artificial neural networks for processing of the spectrophotometric data in order to determine the phenylalanine and tyrosine in undivided binary mixtures of these amino acids at microgramm concentrations. Calculated error in the determination is: minimum of 1 %, the maximum does not exceed 10 %. The maximum error is observed for mixtures in which the content components differ by an order or more.
Key words: neural network, spectrophotometry, binary mixtures, phenylalanine, tyrosine.
Document Type: Article
UDC: 681.322
Language: Russian
Citation: O. I. Aravin, A. Yu. Novikov, E. I. Selifonova, R. K. Chernova, S. P. Shevyrev, “The application of artificial neural networks to identification of some amino acids in binary mixtures”, Izv. Saratov Univ. Math. Mech. Inform., 11:1 (2011), 105–111
Citation in format AMSBIB
\Bibitem{AraNovSel11}
\by O.~I.~Aravin, A.~Yu.~Novikov, E.~I.~Selifonova, R.~K.~Chernova, S.~P.~Shevyrev
\paper The application of artificial neural networks to identification of some amino acids in binary mixtures
\jour Izv. Saratov Univ. Math. Mech. Inform.
\yr 2011
\vol 11
\issue 1
\pages 105--111
\mathnet{http://mi.mathnet.ru/isu209}
\crossref{https://doi.org/10.18500/1816-9791-2011-11-1-105-111}
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