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Please use this identifier to cite or link to this item: http://ds.knu.edu.ua/jspui/handle/123456789/2270
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dc.contributor.advisorMorkun, Volodymyruk_UA
dc.contributor.advisorМоркун, Володимир Станіславовичuk_UA
dc.contributor.advisorМоркун, Владимир Станиславовичuk_UA
dc.contributor.authorMorkun, Natalia-
dc.contributor.authorМоркун, Наталя Володимирівна-
dc.contributor.authorМоркун, Наталья Владимировна-
dc.contributor.authorTron, Vitaliiuk_UA
dc.contributor.authorТронь, Віталій Валерійовичuk_UA
dc.contributor.authorТронь, Виталий Валерьевичuk_UA
dc.date.accessioned2020-04-21T11:29:30Z-
dc.date.available2020-04-21T11:29:30Z-
dc.date.issued2015-
dc.identifier.citationMorkun V. Identification of control systems for ore-processing industry aggregates based on nonparametric kernel estimators / V. Morkun, N. Morkun, V. Tron // Metallurgical and Mining Industry. – 2015. – No 1. – P. 14–17. – References: p. 17.uk_UA
dc.identifier.issn2076-0507 (Print)-
dc.identifier.issn2078-8312 (Online)-
dc.identifier.urihttp://ds.knu.edu.ua/jspui/handle/123456789/2270-
dc.description.abstractThe study results of nonparametric kernel estimator methods for solving the control systems identification problems of concentrating production technological aggregates in conditions of characteristics instability of the raw material, which is fed to processing, are presented.uk_UA
dc.language.isoenuk_UA
dc.publisherТОВ «Укрметалурінформ «Науково-технічне агентство»uk_UA
dc.subjectautomationuk_UA
dc.subjectnonparametric identificationuk_UA
dc.subjectore-dressinguk_UA
dc.titleIdentification of control systems for ore-processing industry aggregates based on nonparametric kernel estimatorsuk_UA
dc.typeArticleuk_UA
local.submitter.emaildspace_knu@knu.ed...uk_UA
Appears in Collections:Кафедра автоматизації, комп'ютерних наук і технологій
Наукові статті

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