文章基本信息

标题：Comparing RMB Exchange Rate Forecasting Accuracy based on Dynamic BP Neural Network Model and the ARMA Model
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作者：Zhiqiang Ye ; Xiang Ren ; Yaling Shan 等
期刊名称：Stock & Forex Trading
电子版ISSN：2168-9458
出版年度：2016
卷号：5
期号：1
页码：1-5
DOI：10.4172/2168-9458.1000161
出版社：OMICS Group
摘要：This paper uses the dynamic back propagation (BP) neural network model and the autoregressive moving average (ARMA) model to forecast the RMB exchange rate based on the data from January 1, 2011 to October 10, 2012. The results show that the dynamic BP neural network model works better than the ARMA model in evaluating both the trend and the deviation of RMB exchange rate.
关键词：ARMA Model ; Dynamic BP Neural Network Model; RMB exchange rate