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A Comparison Study of Performance Measures and Length of Intervals in Fuzzy Time Series by Neural Networks
(World Scientific Publ Co Pte LTD, 2009)
Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ...
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 ...
Forecasting neural network-based fuzzy time series with different neural network models
(2011)
Fuzzy approach and artificial neural networks become effective tool for researchers by forecasting fuzzy time series. The relation of these has advantage to improve forecasting performance especially in handling nonlinear ...
A comparison study of performance measures and length of intervals in fuzzy time series by neural networks
(2009)
Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ...