Konu "Hybrid Models" için İstatistik Bölümü listeleme
Toplam kayıt 6, listelenen: 1-6
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A comparative study of hybrid, neural networks and nonparametric regression models in time series prediction
(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 ... -
Comparison of ARIMA, neural networks and hybrid models in time series: tourist arrival forecasting
(Taylor & Francis LTD, 2007)For time series forecasting, different artificial neural network (ANN) and hybrid models are recommended as alternatives to commonly used autoregressive integrated moving average (ARIMA) models. Recently, combined models ... -
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 ... -
Statistical methods and artificial neural networks
(2006)Artificial Neural Networks and statistical methods are applied on real data sets for forecasting, classification, and clustering problems. Hybrid models for two components are examined on different data sets; tourist arrival ... -
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 ...