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Отмеченные записи: 0
1.
Подробнее
22.3
M99
Myrzatay, A. A.
The effect of the amount of data array on the results of forecasting network equipment failures. [Текст] / A. A. Myrzatay, L. G. Rzayeva, G. A. Uskenbayeva, A. K. Shukirova, G. Abitova // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №6. - P. 28-36
ББК 22.3
Рубрики: physics
Кл.слова (ненормированные):
machine learning methods -- modeling of machine learning method -- network equipment failure forecasts -- LAN
Аннотация: The article discusses three methods for predicting network equipment failures and the impact of the data array of input controllers. The purpose of the article is to reveal the relevance of the approach proposed by the authors to the use of large-amount of data in the chosen method of machine learning and to make a comparative analysis of the final values with the works of other world researchers. In the first section, the authors analyze the work of scientists from the Beijing University of Post and Telecommunications, noting the strengths and weaknesses of their method. In Section 2, the authors analyze the Holt-Winters method for developing algorithms for analyzing network traffic, which was applied by researchers from the Tomsk State University of Control Systems and Radio Electronics. In section 3, the authors applied the method of random trees in the modeling of machine learning methods of Rapid Miner Studio. The authors have carried out work with a large amount of data, and a comparative analysis of the results of modeling the method. The importance of using large amounts of information to train a model of network equipment failure forecasts is proved. In the final section, the authors highlight the need to improve forecasting models for its further implementation in the working environment. Also, the authors emphasize that the two articles considered by international researchers are a special case, as well as their chosen method for predicting failures in the LAN system.
Держатели документа:
WKU
Доп.точки доступа:
Rzayeva, L.G.
Uskenbayeva, G.A.
Shukirova, A.K.
Abitova, G.
M99
Myrzatay, A. A.
The effect of the amount of data array on the results of forecasting network equipment failures. [Текст] / A. A. Myrzatay, L. G. Rzayeva, G. A. Uskenbayeva, A. K. Shukirova, G. Abitova // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №6. - P. 28-36
Рубрики: physics
Кл.слова (ненормированные):
machine learning methods -- modeling of machine learning method -- network equipment failure forecasts -- LAN
Аннотация: The article discusses three methods for predicting network equipment failures and the impact of the data array of input controllers. The purpose of the article is to reveal the relevance of the approach proposed by the authors to the use of large-amount of data in the chosen method of machine learning and to make a comparative analysis of the final values with the works of other world researchers. In the first section, the authors analyze the work of scientists from the Beijing University of Post and Telecommunications, noting the strengths and weaknesses of their method. In Section 2, the authors analyze the Holt-Winters method for developing algorithms for analyzing network traffic, which was applied by researchers from the Tomsk State University of Control Systems and Radio Electronics. In section 3, the authors applied the method of random trees in the modeling of machine learning methods of Rapid Miner Studio. The authors have carried out work with a large amount of data, and a comparative analysis of the results of modeling the method. The importance of using large amounts of information to train a model of network equipment failure forecasts is proved. In the final section, the authors highlight the need to improve forecasting models for its further implementation in the working environment. Also, the authors emphasize that the two articles considered by international researchers are a special case, as well as their chosen method for predicting failures in the LAN system.
Держатели документа:
WKU
Доп.точки доступа:
Rzayeva, L.G.
Uskenbayeva, G.A.
Shukirova, A.K.
Abitova, G.
2.
Подробнее
32.88-01
К 22
Каренских, Г.
Связь без границ [Текст] / Г. Каренских // Приуралье. - 2026. - 19 мая. - №41. - С. 6.
ББК 32.88-01
Рубрики: Теоретические основы электрической связи
Кл.слова (ненормированные):
Акимат Западно-Казахстанской области -- Министерство искусственного интеллекта и цифрового развития РК -- Комитет телекоммуникаций -- Нургиса Камашев -- Жалгас Гумаров -- Азамат Сериктаев -- Вадим Кривошеев -- День работников связи -- АО «Казахтелеком» -- АО «JusanMobile» -- Кселл -- Билайн -- малые операторы связи -- Телекоммуникации -- базовая станция
Аннотация: В Уральске состоялась конференция "Telecommunications day conference", посвященная Дню работников связи. Мероприятие прошло при отеле West Plaza и объединило представителей государственных структур, операторов связи, IT-компаний и специалистов телекоммуникационной отрасли
Держатели документа:
ЗКУ
К 22
Каренских, Г.
Связь без границ [Текст] / Г. Каренских // Приуралье. - 2026. - 19 мая. - №41. - С. 6.
Рубрики: Теоретические основы электрической связи
Кл.слова (ненормированные):
Акимат Западно-Казахстанской области -- Министерство искусственного интеллекта и цифрового развития РК -- Комитет телекоммуникаций -- Нургиса Камашев -- Жалгас Гумаров -- Азамат Сериктаев -- Вадим Кривошеев -- День работников связи -- АО «Казахтелеком» -- АО «JusanMobile» -- Кселл -- Билайн -- малые операторы связи -- Телекоммуникации -- базовая станция
Аннотация: В Уральске состоялась конференция "Telecommunications day conference", посвященная Дню работников связи. Мероприятие прошло при отеле West Plaza и объединило представителей государственных структур, операторов связи, IT-компаний и специалистов телекоммуникационной отрасли
Держатели документа:
ЗКУ
Страница 1, Результатов: 2