Bitcoin Price Prediction in a Distributed Environment Using a Tensor Processing Unit: A Comparison With a CPU-Based Model

Mohd Hammad Khan; Devdutt Sharma; N. Narayanan PrasanthS.P. Raja

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Bitcoin Price Prediction in a Distributed Environment Using a Tensor Processing Unit: A Comparison With a CPU-Based Model

机译：Bitcoin Price Prediction in a Distributed Environment Using a Tensor Processing Unit: A Comparison With a CPU-Based Model

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摘要

Bitcoin is the world’s most traded cryptocurrency and highly popular among cryptocurrency investors and miners. However, its volatility makes it a risky investment, which leads to the need for accurate and fast price-prediction models. This article proposes a Bitcoin price-prediction model using a long short-term memory (LSTM) network in a distributed environment. A tensor processing unit (TPU) has been used to provide the distributed environment for the model. The results show that the TPU-based model performed significantly better than a conventional CPU-based model.

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《IEEE systems, man, and cybernetics magazine》 |2022年第2期|39-43|共5页
作者
Mohd Hammad Khan; Devdutt Sharma; N. Narayanan PrasanthS.P. Raja;
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School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India;

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原文格式 PDF
正文语种英语
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Training data; Tensors; Program processors; Machine learning algorithms; Neural networks; Bitcoins; Machine learning; Predictive models;

Bitcoin Price Prediction in a Distributed Environment Using a Tensor Processing Unit: A Comparison With a CPU-Based Model

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