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Fuzzy time series forecasting for RMB's exchange rate based on FCM

机译:基于FCM的人民币汇率模糊时间序列预测

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摘要

Forecasting exchange rate is one of the most important research topics in financial time series field. In this paper, the author combine fuzzy time series model with fuzzy clustering method to predict the USD/CHY exchange rate. The empirical results show that this method can obviously obtain higher forecasting precision than some traditional ones.
机译:预测汇率是金融时间序列领域最重要的研究主题之一。在本文中,作者将模糊时间序列模型与模糊聚类方法相结合,以预测USD / CHY汇率。实验结果表明,与传统方法相比,该方法具有较高的预测精度。

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