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    Comparative Analysis of Recurrent Neural Network Models Performance in Predicting Bitcoin Prices by Zidane Ikkoy Ramadhan, Harya Widiputra

    Published 2024-06-01
    “…The results of the study show that LSTM is the most effective model with RMSE 0.012441 and MSE 0.000155 but inefficient because it takes 3 minutes 24 seconds to run the computation; in the meantime, the Tanh activation function gives the most optimal prediction than Sigmoid and RelU and therefore should be the main candidate to be used with RNN models when predicting Bitcoin prices.…”
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