Modified Pi Sigma artificial neural networks for forecasting

Author:

Egrioglu Erol,Bas Eren

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Science Applications,Information Systems

Reference25 articles.

1. 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 8:121–132

2. Akram U, Ghazali R, Mushtaq MF (2017) A comprehensive survey on Pi–Sigma neural network for time series prediction. J Telecommun Electron Comput Eng 9(3–3):57–62

3. Bas E, Grosan C, Egrioglu E, Yolcu U (2018) High order fuzzy time series method based on Pi–Sigma neural network. Eng Appl Artif Intell 72:350–356

4. Bas E, Egrioglu E, Kolemen E (2022) Training simple recurrent deep artificial neural network for forecasting using particle swarm optimization. Granul Comput 7(2):411–420

5. Chen SM, Kao PY (2013) TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines. Inf Sci 247:62–71

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