
Using A Feed Forward Neural Network Algorithm to Predict Prices of Multiple Cryptocurrencies
Author(s) -
Sina E. Charandabi,
Kamyar Kamyar
Publication year - 2021
Publication title -
european journal of business and management research
Language(s) - English
Resource type - Journals
ISSN - 2507-1076
DOI - 10.24018/ejbmr.2021.6.5.1056
Subject(s) - cryptocurrency , artificial neural network , computer science , artificial intelligence , econometrics , baseline (sea) , machine learning , data mining , economics , computer security , oceanography , geology
This paper initially presents a nontechnical overview of cryptocurrency, its history, and the technicalities of its usage as a means of exchange. Bitcoin’s working methodology and mathematical baseline is further presented in more depth. For the remaining majority of the paper, recent cryptocurrency price data of Bitcoin, Ethereum, Tether, Dogecoin, and Binance coin was used to train a machine learning model of Feed Forward Neural Networks to predict future prices for each of the datasets. Further and in conclusion, the results are discussed, and the efficiency and accuracy of these models are evaluated.