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Prediction Analysis of USD-CNY Trend Based on BP Neural Network

机译:基于BP神经网络的美元兑人民币走势预测分析

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摘要

Exchange rate plays a vital role in the healthy development of a country’s economy. The back propagation (BP) neural network is used to predict the trend of the exchange rate of US dollar to China Yuan (USD-CNY) in this paper. And the result indicates that USD-CNY shows a trend of decline in recent years. Through constructing the relational expressions and the analysis of the factor affecting USD-CNY we find that the balance of payments, commodity prices and USD-CNY has a negative correlation; the rate of inflation, gross domestic product (GDP), foreign exchange reserves and USD-CNY has a positive correlation.
机译:汇率在一个国家经济的健康发展中起着至关重要的作用。本文采用反向传播(BP)神经网络来预测美元对人民币(USD-CNY)的汇率趋势。结果表明,美元兑人民币近年来呈下降趋势。通过构造关系表达式并分析影响美元兑人民币的因素,我们发现国际收支,商品价格和美元兑人民币之间存在负相关。通货膨胀率,国内生产总值(GDP),外汇储备和美元兑人民币呈正相关。

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