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A comparative study of hybrid, neural networks and nonparametric regression models in time series prediction
Aydın, Dursun; Mammadov, Mammadagha (2009)This paper presents a comparative study of the hybrid models, neural networks and nonparametric regression models in time series forecasting. The components of these hybrid models are consisting of the nonparametric ... -
The smoothing parameter selection problem in smoothing spline regression for different data sets
Aydın, Dursun; Omay, Rabia Ece (2007)This paper studies smoothing parameter selection problem in nonparametric regression based on smoothing spline method for different data sets. For this aim, a Monte Carlo simulation study was performed. This simulation ... -
Time Series Forecasting Using a Hybrid Neural Networks and Nonparametric Regression Model
Aydın, Dursun; Mammadov, Mammadagha (Isoss Publ, 2014)The focus in this paper embraces the hybrid models whose components are nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the ...