Дослідження методів обчислювального інтелекту у проблемі прогнозування на ринках цінних паперів

• Date: 2021
• Main Authors: Zaychenko, Yuriy, Hamidov, Galib, Gasanov, Aydin
• Format: Article
• Language: English
• Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2021
• Subjects: прогнозування цін акцій; рекурентні мережі LSTM; GRU; RNN; МГУА
• Online Access: http://journal.iasa.kpi.ua/article/view/239831
• Journal Title: System research and information technologies

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 M...