Thèses en ligne de l'université 8 Mai 1945 Guelma

Un système basé sur l’apprentissage automatique pour la prédiction de la valeur des cryptomonnaies

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dc.contributor.author Ounadi, Fouad
dc.date.accessioned 2023-11-27T09:12:18Z
dc.date.available 2023-11-27T09:12:18Z
dc.date.issued 2023
dc.identifier.uri http://dspace.univ-guelma.dz/jspui/handle/123456789/15030
dc.description.abstract iii ABSTRACT Cryptocurrencies have indeed experienced growing interest and popularity in recent years as digital assets independent of central banking institutions. In our re- search and development of our model, we have primarily focused our efforts on pre- dicting the price of Bitcoin, the flagship and most widely recognized cryptocurrency. We have tried several models trained on different datasets and economic and finan- cial indicators, and the best results were obtained using an MLP (Multi-Layer Percep- tron) model trained on a database containing various variations of the RSI (Relative Strength Index) economic indicator calculated over four different periods. en_US
dc.language.iso fr en_US
dc.publisher University of Guelma en_US
dc.subject Cryptocurrency, Bitcoin, Indicators, MLP, RSI en_US
dc.title Un système basé sur l’apprentissage automatique pour la prédiction de la valeur des cryptomonnaies en_US
dc.type Working Paper en_US


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