Key words
recurrent neural networks, time series prediction, cryptocurrency, bitcoin, LSTM
recurrent neural networks, time series prediction, cryptocurrency, bitcoin, LSTM
Cand. Sci. (Econ.), Associate Professor, Director of the Digital Economy Department, Synergy University
Moscow, Russia
Cand. Sci. (Ped.), Head of the Information Management and Information and Communication Technologies Department named after Professor V. V. Dik, Synergy University
Moscow, Russia
Cand. Sci. (Econ.), Associate Professor, Head of the Artifi Intelligence and Data Analysis Department, Synergy University
Moscow, Russia
Cand. Sci. (Ped.), Associate Professor, Digital Economy Department, Synergy University
Moscow, Russia
4th year Student in the direction of preparation 09.03.03 "Applied Informatics", Orel State University named after I. S. Turgenev
Orel, Russia
Cand. Sci. (Phys.-Math.), Associate Professor, Information Management and Information and Communication Technologies Department named after Professor V. V. Dik, Synergy University; Researcher, Space Research Institute of the Russian Academy of Sciences
Moscow, Russia