Journal of Siberian Federal University. Mathematics & Physics / Identification of Multidimensional Technological Processes with Dependent Input Variables

Full text (.pdf)
Issue
Journal of Siberian Federal University. Mathematics & Physics. 2018 11 (5)
Authors
Medvedev, Alexander V.; Mihov, Eugene D.; Ivanov, Nikolay D.
Contact information
Medvedev, Alexander V.: Siberian State University of science and technologies Reshetnev Krasnoyarsky Rabochy, 31, Krasnoyarsk, 660037 Russia; ; Mihov, Eugene D.: Siberian Federal University Svobodny, 79, Krasnoyarsk, 660041 Russia; ; Ivanov, Nikolay D.: Siberian Federal University Svobodny, 79, Krasnoyarsk, 660041 Russia;
Keywords
apriori information; identification; nonparametric model; nonparametric algorithms; H- model; fractional dimension space
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

Pages
649–658
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/72250