Репозиторий научных и учебно-методических публикаций
Северо-Кавказский федеральный университет
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https://dspace.ncfu.ru/handle/20.500.12258/25184| Title: | Application of Bayes Networks in the Design of the Information System 'Mineral Water Deposit' |
| Authors: | Martirosyan, K. V. Мартиросян, К. В. Chernyshev, A. B. Чернышев, А. Б. |
| Keywords: | Bayesian networks;Mineral water deposits;Intelligent services;Information system;Debit of a mineral water deposit |
| Issue Date: | 2023 |
| Citation: | Martirosyan, 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/SCM58628.2023.10159085 |
| Series/Report no.: | Proceedings of 2023 26th International Conference on Soft Computing and Measurements, SCM 2023 |
| Abstract: | He 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. |
| URI: | http://hdl.handle.net/20.500.12258/25184 |
| Appears in Collections: | Статьи, проиндексированные в SCOPUS, WOS |
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| scopusresults 2679 .pdf Restricted Access | 132.68 kB | Adobe PDF | View/Open |
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