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Toplam kayıt 3, listelenen: 1-3
Hybrid Models Combining Neural Networks and Nonparametric Regression Models Used for Time Series Prediction
(World Scientific And Engineering Acad And Soc, 2009)
In this paper, we proposed the hybrid models whose components are nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the nonparametric ...
The empirical performances of the selection criteria for nonparametric regression using smoothing spline
(World Scientific and Engineering Academy and Society, 2006)
In this paper, the smoothing parameter selection problem has been examined in nonparametric regression using smoothing spline method for different data sets. For that reason a Monte Carlo simulation study has been performed ...
Comparison study of P-spline and univariate additive model (CUBIC smoothing spline) in time-series prediction
(Vilnius Gediminas Technical University, 2010)
Smoothing splines used in many nonparametric problems to make a good approximation for smoothed functions in recent years. It is discussed two nonparametric techniques called P-spline and univariate additive model (cubic ...