Prediction of Short Term Exchange Rate Using BP Neural Network

DOI

10.2991/icesem-17.2017.96How to use a DOI?

Keywords

BP neural network; Exchange rate prediction; Time series; Matlab simulation

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icesem-17.2017.96
ID  - Liu2017/10
ER  -