Neural networks and seasonality: Some technical considerations
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References listed on IDEAS
- Ghysels,Eric & Osborn,Denise R., 2001.
"The Econometric Analysis of Seasonal Time Series,"
Cambridge Books,
Cambridge University Press, number 9780521565882.
- Ghysels,Eric & Osborn,Denise R., 2001. "The Econometric Analysis of Seasonal Time Series," Cambridge Books, Cambridge University Press, number 9780521562607, September.
- Curry, B. & Morgan, P.H., 2006. "Model selection in Neural Networks: Some difficulties," European Journal of Operational Research, Elsevier, vol. 170(2), pages 567-577, April.
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Cited by:
- Miguel Núñez-Peiró & Anna Mavrogianni & Phil Symonds & Carmen Sánchez-Guevara Sánchez & F. Javier Neila González, 2021. "Modelling Long-Term Urban Temperatures with Less Training Data: A Comparative Study Using Neural Networks in the City of Madrid," Sustainability, MDPI, vol. 13(15), pages 1-23, July.
- Crone, Sven F. & Hibon, Michèle & Nikolopoulos, Konstantinos, 2011.
"Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction,"
International Journal of Forecasting, Elsevier, vol. 27(3), pages 635-660.
- Crone, Sven F. & Hibon, Michèle & Nikolopoulos, Konstantinos, 2011. "Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction," International Journal of Forecasting, Elsevier, vol. 27(3), pages 635-660, July.
- Silva, Emmanuel Sirimal & Hassani, Hossein & Heravi, Saeed & Huang, Xu, 2019. "Forecasting tourism demand with denoised neural networks," Annals of Tourism Research, Elsevier, vol. 74(C), pages 134-154.
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