Geodesic
The application of artificial neural networks to identification of some amino acids in binary mixtures
Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, Tome 11 (2011) no. 1, pp. 105-111.

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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. 
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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. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, Tome 11 (2011) no. 1, pp. 105-111. http://geodesic.mathdoc.fr/item/ISU_2011_11_1_a14/

[1] Dvorkin V. I., Metrologiya i obespechenie kachestva kolichestvennogo khimicheskogo analiza, Khimiya, M., 2001, 261 pp.

[2] Esbensen K., Analiz mnogomernykh dannykh, IPKhF RAN, Chernogolovka, 2005, 158 pp.

[3] Khaikin S., Neironnye seti, Vilyams, M.–SPb–Kiev, 2006, 219–221, 279 pp.

[4] Tits N., Entsiklopediya khimicheskikh laboratornykh testov, Labinform, M., 1997, 960 pp.

[5] Yasnitskii L. N., Vvedenie v iskusstvennyi intellekt, Akademiya, M., 2005, 37–39

[6] Aravin O. I., Malygin A. V., “Primenenie neironnykh setei dlya raspoznaniya i klassifikatsii patologii v sosudakh”, Metody kompyuternoi diagnostiki v biologii i meditsine, Materialy ezhegodnoi nauch. shkoly-seminara 2008 g., ed. D. A. Usanov, Izd-vo Sarat. un-ta, Saratov, 2008, 51

[7] Astakhova I. F., Potapov A. S., Chulyukov V. A., Sistemy iskusstvennogo intellekta, Binom. Laboratoriya znanii, M., 2008, 104 pp.