Results 121 to 128 of about 6,158 (128)

Прогнозирование Ð´Ð°Ð½Ð½Ñ‹Ñ Ñ использованием кусочно-линейной регрессии

This work was devoted to the study of methods for restoring interval data, such as time series, using piecewise linear regression.
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Комплекснозначные авторегрессии в прогнозировании ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸Ñ‡ÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½Ñ‹Ñ

The purpose of the graduate qualification work is to solve the problem of dimensionality of the coefficient matrix in vector autoregression models as an effective method of short-term forecasting. Methods used in preparation for the research and its implementation: deduction, induction, historical method, method of analogies, analysis and synthesis ...
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Разработка и исследование Ñ€Ð¾Ð±Ð°ÑÑ‚Ð½Ñ‹Ñ (Ð¼Ð¸Ð½Ð¸Ð¼Ð°ÐºÑÐ½Ñ‹Ñ ) моделей классификации и регрессии для Ð¼Ð°Ð»Ñ‹Ñ Ð²Ñ‹Ð±Ð¾Ñ€Ð¾Ðº на основе ÑÐ»ÑƒÑ‡Ð°Ð¹Ð½Ñ‹Ñ Ð»ÐµÑÐ¾Ð²

2019
In the given work, one proposes robust modifications of the machine learning algorithm, Random Forest, which are used to solve classification and regression problems. Random Forest is implemented by constructing a set of Decision Trees and averaging their estimates. For small samples, the estimates cannot be regarded as accurate.
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Обобщение IU-алгоритма для задачи восстановления регрессии с эпсилон-нечувствительной функцией потерь

В данной работе рассмотрен и изучен метод решения задачи восстановления однофакторной регрессии с использованием IU-алгоритма, являющегося обобщением IU-алгоритма для решения задачи бинарной ...
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Краткосрочное прогнозирование спроса на продукты интернет-банкинга с помощью Ð²ÐµÐºÑ‚Ð¾Ñ€Ð½Ñ‹Ñ Ð°Ð²Ñ‚Ð¾Ñ€ÐµÐ³Ñ€ÐµÑÑÐ¸Ð¹

The purpose of the research is literature analysis and development of a model for short-term economic forecasting of demand for Internet banking products on the example of one of the largest banks in Russia. The research was carried out on the basis of domestic and foreign research literature, official Internet resources and analytical tools.
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Синтез алгоритма поддержания температуры среды в транспортном трубопроводе с применением Ñ€ÐµÐ³Ñ€ÐµÑÑÐ¸Ð¾Ð½Ð½Ñ‹Ñ Ð¼ÐµÑ‚Ð¾Ð´Ð¾Ð²

This work is devoted to the automation of the process of temperature maintenance in the transportation pipeline based on the derivation of the regression formula for the heater. Tasks that were solved during the study: investigation of the system structure; correlation analysis; validation of the initial data; review of the types of regression analysis;
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