Yazar "Özdemir, Özer" için Bildiri Koleksiyonu listeleme
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C programming on waiting line systems
Özdemir, Özer (World Scientific And Engineering Acad And Soc, 2008)In this article, the particular queue will be a place where customers are waiting for service behind each other. For the purpose of this study, a simulation in C language is created in order to simulate the aforementioned ... -
A comparison study of forecasting financial fuzzy time series by artificial neural networks
Özdemir, Özer; Memmedli, M. (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 ... -
Comparison study of P-spline and univariate additive model (CUBIC smoothing spline) in time-series prediction
Nizamitdinov, A.; Memmedli, M.; Özdemir, Özer (Vilnius Gediminas Technical University, 2010)Smoothing splines used in many nonparametric problems to make a good approximation for smoothed functions in recent years. It is discussed two nonparametric techniques called P-spline and univariate additive model (cubic ... -
A Comparison Study of Performance Measures and Length of Intervals in Fuzzy Time Series by Neural Networks
Memmedli, Memmedaga; Özdemir, Özer (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 performance measures and length of intervals in fuzzy time series by neural networks
Memmedli, Memmedaga; Özdemir, Özer (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 ... -
Forecasting neural network-based fuzzy time series with different neural network models
Memmedli, Memmedaga; Özdemir, Özer (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 ...