Systematic use of nonlinear data filtering methods in forecasting tasks
Aleksandr P. Gozhyj,
Irina A. Kalinina,
Peter I. Bidyuk
Abstract:The article describes an approach to the systematic use of nonlinear data filtering methods in tasks of intelligent data analysis and machine learning. The concepts of filtering and non-linear filtering are considered. The analysis of modern methods of optimal and probabilistic nonlinear filtering of statistical data and the peculiarities of their application in solving the problems of estimating the states of dynamic systems is carried out. The application of the Kalman filter and its variants for solving non… Show more
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