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Forecasting with genetically programmed polynomial neural networks

, and . International Journal of Forecasting, 22 (2): 249--265 (April 2006)
DOI: doi:10.1016/j.ijforecast.2005.05.002

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Overfitting avoidance in genetic programming of polynomials., , and . IEEE Congress on Evolutionary Computation, page 1209-1214. IEEE, (2002)Nonlinear filtering of asymmetric stochastic volatility models and Value-at-Risk estimation., , and . CIFEr, page 310-317. IEEE, (2014)The persistence of specification problems in the distribution of combined forecast errors, and . International Journal of Forecasting, 14 (3): 415--426 (Sep 1, 1998)Forecasting with genetically programmed polynomial neural networks, and . International Journal of Forecasting, 22 (2): 249--265 (April 2006)A comparison of univariate methods for forecasting electricity demand up to a day ahead, , and . International Journal of Forecasting, 22 (1): 1--16 (00 2006)Structural Combination of Neural Network Models., and . ICDM Workshops, page 406-413. IEEE Computer Society, (2016)