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Comparative analysis of autoregressive approaches and recurrent neural networks for modeling and forecasting nonlinear nonstationary processes
Author(s) -
Oleg Belas,
Петро Іванович Бідюк,
Andrii Belas
Publication year - 2019
Publication title -
information technology and security
Language(s) - English
Resource type - Journals
eISSN - 2518-1033
pISSN - 2411-1031
DOI - 10.20535/2411-1031.2019.7.1.184395
Subject(s) - artificial neural network , computer science , nonlinear system , autoregressive model , time series , generalization , variable (mathematics) , nonlinear autoregressive exogenous model , multicollinearity , autoregressive integrated moving average , recurrent neural network , artificial intelligence , machine learning , mathematical optimization , regression analysis , econometrics , mathematics , mathematical analysis , physics , quantum mechanics

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