dc.contributor.author | Azarova, Anzhelika O. | uk |
dc.contributor.author | Azarova, Larysa E. | uk |
dc.contributor.author | Pavlov, Sergii V. | uk |
dc.contributor.author | Savina, Nataliia B. | uk |
dc.contributor.author | Kaplun, Iryna S. | uk |
dc.contributor.author | Wójcik, Waldemar | uk |
dc.contributor.author | Smailova, Saule | uk |
dc.contributor.author | Kalizhanova, Aliya | uk |
dc.date.accessioned | 2025-01-28T13:12:50Z | |
dc.date.available | 2025-01-28T13:12:50Z | |
dc.date.issued | 2020 | uk |
dc.identifier.citation | Azarova A., Azarova L., Pavlov S., Savina N., Kaplun I., Wójcik W., Smailova S., Kalizhanova A. Information technologies for assessing the quality of IT-specialties graduates` training of university by means of fuzzy logic and neural networks / Journal of electronics and telecommunications. 2020. Vol. 66, № 3. Pp. 411-416. | uk |
dc.identifier.uri | https://ir.lib.vntu.edu.ua//handle/123456789/44023 | |
dc.description.abstract | —The information technologies for assessing the
quality of IT-specialties graduates' training of university by
means of fuzzy logic and neural networks are developed in the
article. It makes possible taking into account a wide set of
estimation and output parameters, influence of the external and
internal factors and allows to simplify the assessing process by
means of modern mathematical apparatuses of artificial
intelligence. | uk_UA |
dc.language.iso | uk_UA | uk_UA |
dc.publisher | Committee of Electronics and Telecommunications of the Polish Academy of Sciences | uk |
dc.relation.ispartof | Journal of electronics and telecommunications. 2020. Vol. 66, № 3 : 411-416. | uk |
dc.subject | information technologies | uk |
dc.subject | fuzzy logic | uk |
dc.subject | neural networks | uk |
dc.subject | quality of IT-specialties graduates' training | uk |
dc.title | Information technologies for assessing the quality of IT-specialties graduates` training of university by means of fuzzy logic and neural networks | uk |
dc.type | Article, Scopus-WoS | |
dc.identifier.doi | 10.24425/ijet.2020.131893 | uk |
dc.identifier.orcid | https://orcid.org/ | uk |