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An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting Cover

An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting

Journal of Artificial Intelligence and Soft Computing Research
Volume 8 (2018): Issue 2 (April 2018)
By: Esra Akdeniz,  Erol Egrioglu,  Eren Bas and  Ufuk Yolcu  
Open Access
|Nov 2017
Authors

Authors

Esra Akdeniz

Department of Biostatistics, Medical Faculty, Marmara University, Istanbul, Turkey

Erol Egrioglu

Department of Statistics, Faculty of Arts and Science, Forecast Research Laboratory, Giresun University, Giresun, Turkey

Eren Bas

Department of Statistics, Faculty of Arts and Science, Forecast Research Laboratory, Giresun University, Giresun, Turkey

Ufuk Yolcu

Department of Econometrics, Faculty of Economic and Administrative Sciences, Forecast Research Laboratory, Giresun University, Giresun, Turkey
DOI: https://doi.org/10.1515/jaiscr-2018-0009
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Language: English
Page range: 121 - 132
Submitted on: Mar 3, 2017
Accepted on: Mar 22, 2017
Published on: Nov 1, 2017
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
High order artificial neural networks,
pi-sigma neural network,
forecasting,
recurrent neural network,
Particle Swarm Optimization
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2017 Esra Akdeniz, Erol Egrioglu, Eren Bas, Ufuk Yolcu, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 8 (2018): Issue 2 (April 2018)
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