Hybrid GMDH deep learning networks – analysis, optimization and applications in forecasting at financial sphere

Authors

  • Yuriy Zaychenko Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0001-9662-3269
  • Helen Zaychenko Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0002-4546-0428
  • Galib Hamidov Azerishiq, Baku, Azerbaijan

DOI:

https://doi.org/10.20535/SRIT.2308-8893.2022.1.06

Keywords:

hybrid deep learning networks, self-organization, parameters and structure optimization, forecasting

Abstract

In this paper, the new class of deep learning (DL) neural networks is considered and investigated — so-called hybrid DL networks based on self-organization method Group Method of Data Handling (GDMH). The application of GMDH enables not only to train neural weights, but also to construct the network structure as well. Different elementary neurons with two inputs may be used as nodes of this structure. So the advantage of such a structure is the small number of tuning parameters. In this paper, the optimization of parameters and the structure of hybrid neo-fuzzy networks was performed. The application of hybrid Dl networks for forecasting market indices was considered with various forecasting intervals: one day, one week, and one month. The experimental investigations of hybrid GMDH neo-fuzzy networks were carried out and comparison of its efficiency with FNN ANFIS in the forecasting problem was performed which enabled to estimate their efficiency and advantages.

Author Biographies

Yuriy Zaychenko, Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Yuriy P. Zaychenko,

Doctor of Technical Sciences, a professor at the Department of Mathematical Methods of System Analysis of Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

Helen Zaychenko, Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Helen Yu. Zaychenko,

associate professor, Doctor of Technical Sciences, a professor at the Department of Mathematical Methods of System Analysis of Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

Galib Hamidov, Azerishiq, Baku

Galib Hamidov,

Ph.D., the head of the Information Technologies Department of Azerishiq, Baku, Azerbaijan.

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Published

2022-04-25

Issue

Section

Theoretical and applied problems of intelligent systems for decision making support