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

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

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 networ...

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Bibliographic Details
Main Authors: Yuriy Zaychenko, Helen Zaychenko, Galib Hamidov
Format: Article
Language:Ukrainian
Published: Igor Sikorsky Kyiv Polytechnic Institute 2022-04-01
Series:Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
Subjects:
hybrid deep learning networks
self-organization
parameters and structure optimization
forecasting
Online Access:http://journal.iasa.kpi.ua/article/view/259162

Internet

http://journal.iasa.kpi.ua/article/view/259162

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