Adaptive robust models for identification of nonstationary systems in data stream mining tasks
Yevgeniy V. Bodyanskiy, Olena А. Vynokurova, Zdzisław Szymański, Ilya Kobylin, Oleg Kobylin · 2016
In the paper the adaptive robust models for adaptive identification of nonstationary systems are proposed. These proposed models can be used for solving Dynamical Data and Data Stream Mining tasks. These adaptive robust models are characterized by computational simplicity and high speed operation that allow the signal processing in on-line mode.