Investigation of computational intelligence methods in forecasting problems at stock exchanges
In this paper, the forecasting problem of share prices at the New York Stock Exchange (NYSE) was considered and investigated. For its solution the alternative methods of computational intelligence were suggested and investigated: LSTM networks, GRU, simple recurrent neural networks (RNN) and Group...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Ukrainian |
| Published: |
Igor Sikorsky Kyiv Polytechnic Institute
2021-09-01
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| Series: | Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï |
| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/239831 |