The problem of modeling correlated multidimensional data
Автор: Shirkunova K.S., Kokin I.V.
Журнал: Мировая наука @science-j
Рубрика: Естественные и технические науки
Статья в выпуске: 7 (16), 2018 года.
Бесплатный доступ
This article is devoted to the problem of multidimensional data modeling. The data are correlated, therefore, the simulation is carried out taking into account the vector of the means and the covariance matrix. Also, the modeled data should have a similar distribution. The modeled data is analyzed using machine learning methods.
Machine learning, covariance matrix, printed circuit boards, data modeling
Короткий адрес: https://sciup.org/140263762
IDR: 140263762
Статья научная