A non-linear optimization task for forming optimal sets of selective disciplines

dc.contributor.authorOletsky, O.
dc.date.accessioned2018-07-02T14:42:19Z
dc.date.available2018-07-02T14:42:19Z
dc.date.issued2017
dc.description.abstractIt appears to be useful to build a recommendation systems aimed to choosing optimal sets of selective disciplines within the e-learning environment. It should be taken into account that the value of any discipline depends not only upon this discipline itself but of selection of other disciplines as well. A non-linear optimization task is suggested as the model of this problem; some heuristic approaches for solving this task on the base of soft computing are regarded.en_US
dc.identifier.citationOletsky O. A non-linear optimization task for forming optimal sets of selective disciplines / Oletsky O. // Обчислювальний інтелект (результати, проблеми, перспективи) : матеріали IV-ї Міжнародної науково-практичної конференції, 16-18 травня 2017 року / наук. ред. В. Є. Снитюк. - Київ, 2017. - С. 180-181.en_US
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/13478
dc.language.isoenen_US
dc.relation.sourceОбчислювальний інтелект (результати, проблеми, перспективи) : матеріали IV-ї Міжнародної науково-практичної конференції, 16-18 травня 2017 рокуen_US
dc.statusfirst publisheden_US
dc.subjecte-learningen_US
dc.subjectsystems for automated enrollmenten_US
dc.subjectnon-linear optimization tasken_US
dc.subjectsoft computingen_US
dc.subjectthesisen_US
dc.titleA non-linear optimization task for forming optimal sets of selective disciplinesen_US
dc.typeConference materialsen_US
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