Prediction of Short Term Exchange Rate Using BP Neural Network
Available Online October 2017.
- https://doi.org/10.2991/icesem-17.2017.96How to use a DOI?
- BP neural network; Exchange rate prediction; Time series; Matlab simulation
- Exchange rate prediction accuracy is often about the survival of an enterprise or even national economic environment security. The effect of predicting the short-term exchange rate with general statistical method is not ideal. This paper proposed a multi-layer BP neural network model to predict short-term exchange rate. We conducted simulation experiments in Matlab 2010b, using data from China Merchants Bank foreign exchange market analysis software V2.8. The results show a better goodness of fit. It indicates that BP neural network can be of practical use in predicting short term exchange rate with high rate of accuracy.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jun Liu PY - 2017/10 DA - 2017/10 TI - Prediction of Short Term Exchange Rate Using BP Neural Network BT - Proceedings of the 2017 International Conference on Education Science and Economic Management (ICESEM 2017) PB - Atlantis Press SP - 432 EP - 435 SN - 2352-5398 UR - https://doi.org/10.2991/icesem-17.2017.96 DO - https://doi.org/10.2991/icesem-17.2017.96 ID - Liu2017/10 ER -