Yazar "Bas, Eren" için listeleme
-
Fuzzy lagged variable selection in fuzzy time series with genetic algorithms
Aladag, Cagdas Hakan; Yolcu, Ufuk; Egrioglu, Erol; Bas, Eren (Elsevier, 2014)Fuzzy time series forecasting models can be divided into two subclasses which are first order and high order. In high order models, all lagged variables exist in the model according to the model order. Thus, some of these ... -
A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations
Uslu, Vedide Rezan; Bas, Eren; Yolcu, Ufuk; Egrioglu, Erol (Elsevier, 2014)Fuzzy time series approaches, which do not require the strict assumptions of traditional time series approaches, generally consist of three stages. These are called as the fuzzification of crisp time series observations, ... -
A modified genetic algorithm for forecasting fuzzy time series
Bas, Eren; Uslu, Vedide Rezan; Yolcu, Ufuk; Egrioglu, Erol (Springer, 2014)Fuzzy time series approaches are used when observations of time series contain uncertainty. Moreover, these approaches do not require the assumptions needed for traditional time series approaches. Generally, fuzzy time ... -
Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting
Egrioglu, Erol; Yolcu, Ufuk; Aladag, Cagdas Hakan; Bas, Eren (Springer, 2015)Artificial neural networks (ANN) have been widely used in recent years to model non-linear time series since ANN approach is a responsive method and does not require some assumptions such as normality or linearity. An ... -
Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-Linear Time Series Forecasting [Proceedings Paper]
Egrioglu, Erol; Yolcu, Ufuk; Aladag, Cagdas Hakan; Bas, Eren (Elsevier Science Bv, 2014)Artificial neural networks (ANN) have been widely used in recent years to model non-linear time series since ANN approach is a responsive method and does not require some assumptions such as normality or linearity. An ... -
Robust learning algorithm for multiplicative neuron model artificial neural networks
Bas, Eren; Uslu, Vedide Rezan; Egrioglu, Erol (Pergamon-Elsevier Science Ltd, 2016)The two most commonly used types of artificial neural networks (ANNs) are the multilayer feed-forward and multiplicative neuron model ANNs. In the literature, although there is a robust learning algorithm for the former, ...
