Financial Time Series Forecasting: Comparison of Traditional and Spiking Neural Networks

Karolina Matenczuk, Agata Kozina, Aleksandra Markowska, Kateryna Czerniachowska, Klaudia Kaczmarczyk, Pawel Golec, Marcin Hernes, Krzysztof Lutoslawski, Adrianna Kozierkiewicz, Marcin Pietranik, Artur Rot, Mykola Dyvak. Financial Time Series Forecasting: Comparison of Traditional and Spiking Neural Networks. In Jaroslaw Watróbski, Wojciech Salabun, Carlos Toro 0001, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, Virtual Event / Szczecin, Poland, 8-10 September 2021. Volume 192 of Procedia Computer Science, pages 5023-5029, Elsevier, 2021. [doi]

Abstract

Abstract is missing.