Investigation of computational intelligence methods in forecasting at financial markets

Investigation of computational intelligence methods in forecasting at financial markets

The work considers intelligent methods for solving the problem of short- and middle-term forecasting in the financial sphere. LSTM DL networks, GMDH, and hybrid GMDH-neo-fuzzy networks were studied. Neo-fuzzy neurons were chosen as nodes of the hybrid network, which allows to reduce computational co...

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Bibliographic Details
Main Authors: Yuriy Zaychenko, Helen Zaichenko, Oleksii Kuzmenko
Format: Article
Language:Ukrainian
Published: Igor Sikorsky Kyiv Polytechnic Institute 2023-09-01
Series:Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
Subjects:
optimization
gmdh
hybrid gmdh-neo-fuzzy network
lstm
short- and middle-term forecasting
Online Access:http://journal.iasa.kpi.ua/article/view/290368

Internet

http://journal.iasa.kpi.ua/article/view/290368

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