Open Access
| Issue |
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
|
|
|---|---|---|
| Article Number | 02018 | |
| Number of page(s) | 11 | |
| Section | Machine Learning, Deep Learning, and Applications | |
| DOI | https://doi.org/10.1051/itmconf/20257302018 | |
| Published online | 17 February 2025 | |
- P. Escudero, W. Alcocer and J. Paredes. Recurrent Neural Networks and ARIMA Models for Euro/Dollar Exchange Rate Forecasting. Applied Sciences, 11(12), 1-8. (2021) [Google Scholar]
- J. Lund, N. Daniel, L. Jensen, A. Bo Rønsholdt. Predicting The EUR/USD Exchange Rate: A Deep Learning Approach.1-3. (2024) [Google Scholar]
- M. Vochozka, J. Horák and P. Šuleř. Equalizing Seasonal Time Series Using Artificial Neural Networks in Predicting the Euro–Yuan Exchange Rate. JRFM, 12(2),76-79. (2019) [CrossRef] [Google Scholar]
- D., A.J., Härdle, W.K., Lessmann, S. et al. Forex exchange rate forecasting using deep recurrent neural networks. Digit Finance 2, 69–96 (2020) [CrossRef] [Google Scholar]
- C. Cocianu and M.S. Avramescu The Use of LSTM Neural Networks to Implement the NARX Model. A Case Study of EUR-USD Exchange RatesMarch 2020Informatica Economica 24(1/2020):5-14 [Google Scholar]
- M. Markova. Foreign exchange rate forecasting by artificial neural networks. AIP Conf. Proc. 2164, 060010 (2019) [CrossRef] [Google Scholar]
- D. Meng. Application of BP neural network in short-term exchange rate forecasting. Beijing University of Technology. (2011) [Google Scholar]
- H., H.s & Pedreira, C. & Souza, R. Combining neural networks and ARIMA models for hourly temperature forecast. Proceedings of the International Conference on Neural Networks (IJCNN). 4. 414 - 419 vol.4. (2000) 10.1109/IJCNN.2000.860807 [Google Scholar]
- L. Liu, J. Chen and L. Xu. Realization and Application Research of BP Neural Network Based on MATLAB, 2008 International Seminar on Future BioMedical Information Engineering, Wuhan, China, (2008), pp. 130-133, doi: 10.1109/FBIE.2008.92 [Google Scholar]
- R. H. Shumway, D. S. Stoffer. ARIMA Models. In: Time Series Analysis and Its Applications. Springer Texts in Statistics. Springer, Cham. (2017) https://doi.org/10.1007/978-3-319-52452-8_3 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.