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Toplam kayıt 7, listelenen: 1-7
Time Series Forecasting Using a Hybrid Neural Networks and Nonparametric Regression Model
(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 ...
The relationship between environment and income: Regression spline approach
(2013)
This paper examines the relationship between economic growth and carbon dioxide (CO2) emissions, the dominant contributor to the greenhouse effect, in Turkey. For time series data for the period 1980-2009 taking into account ...
A simulation study with different number of observation using nonparametric regression splines
(2011)
In this study we made a simulation study using various nonparametric techniques. The methods that we have used in this study are following: regression spline, penalized spline, and their Bayesian versions: adaptive Bayesian ...
Forecasting with the aid of hybrid models, combining neural networks and nonparametric regression models in time series
(Vilnius Gediminas Technical University, 2010)
The goal of this article is to introduce the hybrid models that combine nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the ...
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 ...
An application of various nonparametric techniques by nonparametric regression splines
(2012)
In this paper we made a comparison study between regression spline, penalized spline, and their Bayesian versions: adaptive Bayesian regression spline and Bayesian penalized spline with a different number of observations. ...
Using multivariate adaptive regression splines to estimate pollution in soil
(Inst Advanced Science Extension, 2017)
Heavy metal pollution is one of the main factors of the traffic pollution. The public authorities have been monitoring the concentration of heavy metal by means of sampling stations. This paper describes the response surface ...