Performance analysis of bitcoin forecasting using deep learning techniques

نویسندگان

چکیده

The most popular cryptocurrency used worldwide is bitcoin. Many everyday folks and investors are now investing in However, it becomes quite difficult to evaluate or foresee the price of bitcoin extremely forecast due its swings. By this point, machine learning has developed a number models examine behaviour using time series data. digital money, different type payment utilising encryption methods, forecast. technology, cryptocurrencies may act as both medium exchange virtual accounting system. To estimate values future sequence, work introduces deep learning-based technique for forecasting that treats current data extracts key traits past. overcome shortcomings conventional production forecasting, three algorithms-auto-regressive integrated moving averages (ARIMA), long-short-term memory (LSTM) network, FB-prophet-were investigated contrasted. We compared historical past eight years, from 2012 2020. “FB-prophet” model, which significant, catches variation might draw attention avert possible problems.

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ژورنال

عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science

سال: 2023

ISSN: ['2502-4752', '2502-4760']

DOI: https://doi.org/10.11591/ijeecs.v31.i3.pp1515-1522