A new recurrent pi‐sigma artificial neural network inspired …
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Work Details
- DOI 10.1002/for.2919
- OpenAlex ID W4306153911
- Type Article
- Language EN
- Published 14 Oct 2022
- Volume 42 (4)
- Pages 802–812
- Source Journal of Forecasting
- Publisher Wiley
- FWCI 1.23
- Countries 1
- Institutions 1
- Added 14 Oct 2022
- Updated 30 Oct 2026
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A new recurrent pi‐sigma artificial neural network inspired by exponential smoothing feedback mechanism
Article 2022 EN
Abstract Pi‐sigma artificial neural networks have very good performance for forecasting problems because of their highly nonlinear model structure. Some time series can be forecasted better with the combination of simple and highly nonlinear structures. In this study, the architecture of the pi‐sigma artificial neural network is modified by an inspiring exponential smoothing feedback mechanism. Th…
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1.23
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Authors & Affiliations
2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Eren Baş | Giresun University (TR) | |
| 2 | Erol Eğrioğlu Corresponding | Giresun University (TR) |
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