1. Asteriou, D., Hall, S.G.: Arima models and the Box-Jenkins methodology. Appl. Econometrics 2(2), 265–286 (2011)
2. Atiya, A.F., El-Shoura, S.M., Shaheen, S.I., El-Sherif, M.S.: A comparison between neural-network forecasting techniques-case study: river flow forecasting. IEEE Trans. Neural Netw. 10(2), 402–409 (1999)
3. Bai, S., Kolter, J.Z., Koltun, V.: An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv:1803.01271 (2018)
4. Bengio, Y., Simard, P.Y., Frasconi, P.: Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Netw. 5, 157–166 (1994)
5. Bouchachia, A., et al.: Ensemble learning for time series prediction. In: The 1st International Workshop on Nonlinear Dynamics and Synchronization (2008)