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dc.contributor.authorMartirosyan, K. V.-
dc.contributor.authorМартиросян, К. В.-
dc.contributor.authorChernyshev, A. B.-
dc.contributor.authorЧернышев, А. Б.-
dc.date.accessioned2023-09-06T14:10:34Z-
dc.date.available2023-09-06T14:10:34Z-
dc.date.issued2023-
dc.identifier.citationMartirosyan, K.V., Chenyshev, A.B., Martirosyan, A.V. Application of Bayes Networks in the Design of the Information System 'Mineral Water Deposit' // Proceedings of 2023 26th International Conference on Soft Computing and Measurements, SCM 2023. - 2023. - pp. 236-239. - DOI: 10.1109/SCM58628.2023.10159085ru
dc.identifier.urihttp://hdl.handle.net/20.500.12258/25184-
dc.description.abstractHe use of Bayes networks in the design of the information system «Mineral water deposit» will allow developing the software for the project. It is proposed to develop algorithms that allow estimating the probability of achieving a certain well flow rate based on data on natural factors. This approach will increase the accuracy of the flow rate estimation and ensure the rational use of the natural resource.ru
dc.language.isoenru
dc.relation.ispartofseriesProceedings of 2023 26th International Conference on Soft Computing and Measurements, SCM 2023-
dc.subjectBayesian networksru
dc.subjectMineral water depositsru
dc.subjectIntelligent servicesru
dc.subjectInformation systemru
dc.subjectDebit of a mineral water depositru
dc.titleApplication of Bayes Networks in the Design of the Information System 'Mineral Water Deposit'ru
dc.typeСтатьяru
vkr.instИнститут сервиса, туризма и дизайна (филиал) СКФУ в г. Пятигорскеru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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