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JOURNALS // Journal of Siberian Federal University. Mathematics & Physics // Archive

J. Sib. Fed. Univ. Math. Phys., 2018 Volume 11, Issue 5, Pages 649–658 (Mi jsfu708)

Identification of multidimensional technological processes with dependent input variables

Alexander V. Medvedeva, Eugene D. Mihovb, Nikolay D. Ivanovb

a Siberian State University of science and technologies Reshetnev, Krasnoyarsky Rabochy, 31, Krasnoyarsk, 660037, Russia
b Siberian Federal University, Svobodny, 79, Krasnoyarsk, 660041, Russia

Abstract: In the article the problem of identification of multidimensional technological processes is studied. The question of modelling $H$-processes with several output variables is considered. A method of analysis of the training sample that determines the possibility of modelling an $H$-process with several output variables is proposed.

Keywords: apriori information, identification, nonparametric model, nonparametric algorithms, $H$-model, fractional dimension space.

UDC: 519.87

Received: 26.05.2017
Received in revised form: 13.06.2018
Accepted: 26.07.2018

Language: English

DOI: 10.17516/1997-1397-2018-11-5-649-658



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