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Implementation of Neural Networks in Time Series to Generate a Portfolio of Investment in Cryptocurrencies

作     者:Jose B.Hernandez C. Jorge A.Flores S. Jesus Lares 

作者机构:Escuela de MatematicasUniversidad Central de VenezuelaLos Chaguaramos1020CaracasVenezuela Centro de Investigacion en MatematicasA.C.Unidad Monterrey.Av.Alianza Centro 502PIIT 66628ApodacaNuevo LeonMexico EY WavespaceMadridSpain Parallel and Distributed Computing CenterUniversidad Central de VenezuelaLos Chaguaramos1020CaracasVenezuela 

出 版 物:《Journal of Mathematics and System Science》 (数学和系统科学(英文版))

年 卷 期:2020年第10卷第1期

页      面:1-12页

学科分类:0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 

主  题:Neural networks time series cryptocurrencies VAR models 

摘      要: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 *** subject has been popular in recent years due to the rapid price fluctuations and the immense amount of money involved in the cryptocurrencies *** technologies have been developed around cryptocurrencies,with Blockchain rising as the most *** has been implementing other information technology projects which have helped to open a wide variety of job positions in some industries.A“New Economyis 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.

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