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Implementation of Neural Networks in Time Series to Generate a Portfolio of Investment in Cryptocurrencies
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作者 Jose B.Hernandez C. Jorge A.Flores S. Jesus Lares 《Journal of Mathematics and System Science》 2020年第1期1-12,共12页
The present work aims to implement two types of neural networks and an analysis of a multivariate time series model of VAR type to predict the price of cryptocurrencies like Bitcoin,Dash,Ethereum,Litecoin,and Ripple.T... The present work aims to implement two types of neural networks and an analysis of a multivariate time series model of VAR type to predict the price of cryptocurrencies like Bitcoin,Dash,Ethereum,Litecoin,and Ripple.This subject has been popular in recent years due to the rapid price fluctuations and the immense amount of money involved in the cryptocurrencies market.Several technologies have been developed around cryptocurrencies,with Blockchain rising as the most popular.Blockchain has been implementing other information technology projects which have helped to open a wide variety of job positions in some industries.A“New Economy”is emerging and it is important to study its basis in order to establish the pillars that help us to understand its behavior and be ready for a new era. 展开更多
关键词 Neural networks time series cryptocurrencies VAR models
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