Yazar "Yolcu U." için listeleme
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Comparison of architecture selection sriteria in analyzing long memory time series
Eğrioğlu E.; Aladag C.H.; Yolcu U. (Bentham Science Publishers Ltd., 2012)In recent years, studies including long memory time series are existed in the literature. Such time series in real life may have both linear and nonlinear structures. Linear models are inadequate for this kind of time ... -
Comparison of feed forward and elman neural networks forecasting ability: Case study for IMKB
Eğrioğlu E.; Aladag C.H.; Yolcu U. (Bentham Science Publishers Ltd., 2012)In recent years, artificial neural networks (ANN) have been widely used in real life time series forecasting. Artificial neural networks can model both linear and curvilinear structure in time series. Most of the conventional ... -
A hybrid forecasting approach combines SARIMA and Fuzzy time series
Eğrioğlu E.; Aladag C.H.; Yolcu U. (Bentham Science Publishers Ltd., 2012)Fuzzy time series, subjected to many scientific studies, have been used in forecasting in recent years. Due to their uncertainty, time series encountered in daily life should be perceived as fuzzy time series and analyzed ... -
A new method for forecasting fuzzy time series with triangular fuzzy number observations
Eğrioğlu E.; Aladag C.H.; Yolcu U. (Bentham Science Publishers Ltd., 2012)Most of the time series faced in real life are fuzzy time series and these time series have to be forecasted by fuzzy time series forecasting methods. Therefore, there have been many studies in the literature in which ... -
Type-1 fuzzy time series function method based on binary particle swarm optimisation
Aladag C.H.; Yolcu U.; Egrioglu E.; Turksen I.B. (Inderscience Publishers, 2016)For time series forecasting four kinds of fuzzy-based approaches can be used. These are fuzzy regression techniques, fuzzy time series methods, fuzzy inference systems, and fuzzy function approaches. There are some major ...
