NDLI: Architecture of neural network complex for forecasting and analysis of time series based on the neural network spectral analysis

Content Provider	IEEE Xplore Digital Library
Author	Ivan, T. Mykola, M. Bohdan, A. Oleksa, S.
Copyright Year	2015
Description	Author affiliation: ACS Dept., Lviv Polytech. Nat. Univ., Lviv, Ukraine (Ivan, T.; Mykola, M.; Oleksa, S.) \|\| IST Dept., Lviv Polytech. Nat. Univ., Lviv, Ukraine (Bohdan, A.)
Abstract	Architecture of neural network complex for forecasting and analysis of time series based on the neural network spectral analysis has been developed. Advantages of neural spectral analysis compared with the existing methods of singular spectral analysis have been shown. Approach to trend and other components forecasting of the time series has been proposed. Architecture improvement option has been presented. The developed neural network complex is advisable to apply for the analysis and forecasting of non-stationary processes in complex dynamic systems.
Starting Page	236
Ending Page	238
File Size	309738
Page Count	3
File Format	PDF
ISBN	9786176077169
DOI	10.1109/CADSM.2015.7230844
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-24
Publisher Place	Ukraine
Access Restriction	Subscribed
Rights Holder	Lviv Polytechnic National University
Subject Keyword	Time series analysis Forecasting Artificial neural networks Spectral analysis Accuracy Market research model of geometric transformations time series forecasting singular spectrum analysis neural network spectrum analysis
Content Type	Text
Resource Type	Article

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Architecture of neural network complex for forecasting and analysis of time series based on the neural network spectral analysis