Yazar "Eğrioğlu E." için listeleme
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Adaptive weighted information criterion to determine the best architecture
Aladag C.H.; Eğrioğlu E. (Bentham Science Publishers Ltd., 2012)In the literature, different selection criteria are used for determining the best architecture when time series is analyzed by artificial neural networks. Criteria available in the literature measure different properties ... -
Advanced time series forecasting methods
Aladag C.H.; Eğrioğlu E. (Bentham Science Publishers Ltd., 2012)The researchers from various fields have been studying on time series forecasting for approximately one century in order to get better forecasts for the future.To achieve high forecast accuracy level, various time series ... -
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 ... -
The effect of the length of interval in fuzzy time series models on forecasting
Eğrioğlu E.; Aladag C.H. (Bentham Science Publishers Ltd., 2012)Due to the vagueness that they contain in their observations, fuzzy time series models worked in two main categories such as first order and high order models, has an ever expending field of study. Fuzzy time series analysis ... -
Forecasting gold prices series in turkey by the forecast combination
Aladag C.H.; Eğrioğlu E.; Kadilar C. (Bentham Science Publishers Ltd., 2012)Forecast combination is a method used for obtaining more accurate forecasts. Forecast combination consists of the combination of forecasts obtained from different models with various methods. There are several types of ... -
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 hybrid forecasting model based on multivariate fuzzy time series and artificial neural networks
Aladag C.H.; Eğrioğlu E. (Bentham Science Publishers Ltd., 2012)Fuzzy time series approaches have been recently used for forecasting in many studies [1]. These approaches can be categorized into two subclasses that are univariate and multivariate approaches. It is a fact that many ... -
New criteria to compare interval estimates in fuzzy time series methods
Eğrioğlu E.; Uslu V.R.; Koc S. (Bentham Science Publishers Ltd., 2012)The idea of exploring fuzzy set theory to time series forecasting issues has been enormously attracted researcher's attention in recent years. Several new approaches on fuzzy time series have been put forward. These ... -
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 ...
