Abstract
Data detailed on artificial intelligence have been presented. According to news reporting originating from Shanghai University by NewsRx correspondents, research stated, "Bitcoin, a decentralized digital currency, has gained widespread acceptance and recognition in recent years." Our news reporters obtained a quote from the research from Shanghai University: "The prediction of Bitcoin prices is a challenging task due to its relatively young age and high volatility. Therefore, this study explores the accuracy of price prediction for Bitcoin using machine learning models and makes comparsion on the outcome of different models, Linear Regression, Long Short-Term Memory, and Recurrent Neural Network. This study utilizes the closing price of Bitcoin in USD from a Kaggle dataset as the independent variable. The study also adopts Mean Absolute Error (MAE) as the measurement indicators, and comparative performance analysis is conducted under various circumstances. The experimental results demonstrate that LR performs poorly in Bitcoin price prediction, while LSTM and RNN outperform LR. Further analysis reveals that LSTM performs better during price apexes, while RNN performs better during price recessions."
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NSTL