A novel error-output recurrent neural network model for time series forecasting
Author:
Funder
Universiti Tun Hussein Onn Malaysia
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04474-5.pdf
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3. Akdeniz E, Egrioglu E, Bas E, Yolcu U (2018) An ARMA type pi-sigma artificial neural network for nonlinear time series forecasting. J Artif Intell Soft Comput Res 8(2):121–132
4. Al-Jumeily D, Ghazali R, Hussain A (2014) Predicting physical time series using dynamic ridge polynomial neural networks. PLoS ONE 9(8):1–15. https://doi.org/10.1371/journal.pone.0105766
5. Almaraashi M, John R (2011) Tuning of type-2 fuzzy systems by simulated annealing to predict time series. Proc World Congr Eng 2:976–980
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