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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 ...
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 ...
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 ...
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 ...