Ara
Toplam kayıt 3, listelenen: 1-3
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 ...
A comparison study of forecasting financial fuzzy time series by artificial neural networks
(Vilnius Gediminas Technical University, 2010)
Forecasting financial time series is an important area for various investors and business practices. Fuzzy time series models which have been successfully applied to handle nonlinear problems have become popular in recent ...
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 ...