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.

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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

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