New deep recurrent hybrid artificial neural network for forecasting seasonal time series
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41066-023-00445-3.pdf
Reference52 articles.
1. Almosova A, Andresen N (2023) Nonlinear inflation forecasting with recurrent neural networks. J Forecast 42(2):240–259
2. Alshammari A (2023) Generation forecasting employing Deep Recurrent Neural Network with metaheruistic feature selection methodology for renewable energy power plants. Sustainable Energy Technol Assess 55:102968
3. Apaydin H, Feizi H, Sattari MT, Colak MS, Shamshirband S, Chau KW (2020) Comparative analysis of recurrent neural network architectures for reservoir inflow forecasting. Water 12(5):1500
4. Barkan O, Benchimol J, Caspi I, Cohen E, Hammer A, Koenigstein N (2023) Forecasting CPI inflation components with hierarchical recurrent neural networks. Int J Forecast 39(3):1145–1162
5. Bas E, Egrioglu E, Karahasan O (2021) A Pi-Sigma artificial neural network based on sine cosine optimization algorithm. Granul Comput 7:1–8
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