Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/45874
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShmeleva, A.-
dc.contributor.authorGoldobin, I.-
dc.contributor.authorKlimova, E.-
dc.contributor.authorMoskvin, A.-
dc.contributor.authorLygarev, Y.-
dc.date.accessioned2021-11-08T12:48:27Z-
dc.date.available2021-11-08T12:48:27Z-
dc.date.issued2021-
dc.identifier.citationMachine learning methods for evaluating innovative projects / A. Shmeleva [et. al.] // Nano-Desing, Tehnology, Computer Simulations=Нанопроектирование, технология, компьютерное моделирование (NDTCS-2021) : тезисы докладов XIX Международного симпозиума, Минск, 28-29 октября 2021 года / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: В. А. Богуш [и др.]. – Минск, 2021. – P. 111–112.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/45874-
dc.description.abstractThe use of mathematical methods and machine learning algorithms based on them for solving applied decision-making problems is an urgent development of information technologies. Note that the proposed methods will automate and optimize the processing of projects submitted for consideration. In essence, the developed mathematical model and its implementation are a prototype of an expert decision-making system. The results obtained when solving the problem of evaluating innovative projects how the applicability of machine learning and artificial intelligence methods, which allow evaluating the characteristics of a project and selecting the most promising ones in order to minimize the risks of investors.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectconference proceedingsru_RU
dc.subjectlearning methodsru_RU
dc.subjectinnovative projectsru_RU
dc.titleMachine learning methods for evaluating innovative projectsru_RU
dc.typeСтатьяru_RU
Appears in Collections:NDTCS 2021

Files in This Item:
File Description SizeFormat 
Shmeleva_Machine.pdf267.27 kBAdobe PDFView/Open
Show simple item record Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.