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Erol Egrioglu
Erol Egrioglu
Other namesErol Eğrioğlu, Erol Ergioglu
Giresun University, Department of Statistics
Verified email at giresun.edu.tr - Homepage
Title
Cited by
Cited by
Year
Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations
CH Aladag, MA Basaran, E Egrioglu, U Yolcu, VR Uslu
Expert Systems with Applications 36 (3), 4228-4231, 2009
2482009
Forecasting nonlinear time series with a hybrid methodology
CH Aladag, E Egrioglu, C Kadilar
Applied Mathematics Letters 22 (9), 1467-1470, 2009
2182009
Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks
E Egrioglu, CH Aladag, U Yolcu
Expert Systems with Applications 40 (3), 854-857, 2013
1972013
Effect Of Surgical Drill Guide On Heat Generated From Implant Drilling
EE Mısır F.A., Sumer M., Yenisey M.
Journal of Oral and Maxillofacial Surgery 67 (12), 2663-2668, 2009
1882009
A new linear & nonlinear artificial neural network model for time series forecasting
U Yolcu, E Egrioglu, CH Aladag
Decision support systems 54 (3), 1340-1347, 2013
1742013
A new approach for determining the length of intervals for fuzzy time series
U Yolcu, E Egrioglu, VR Uslu, MA Basaran, CH Aladag
Applied Soft Computing 9 (2), 647-651, 2009
1662009
A new time invariant fuzzy time series forecasting method based on particle swarm optimization
CH Aladag, U Yolcu, E Egrioglu, AZ Dalar
Applied Soft Computing 12 (10), 3291-3299, 2012
1572012
A new approach based on artificial neural networks for high order multivariate fuzzy time series
E Egrioglu, CH Aladag, U Yolcu, VR Uslu, MA Basaran
Expert Systems with Applications 36 (7), 10589-10594, 2009
1552009
Finding an optimal interval length in high order fuzzy time series
E Egrioglu, CH Aladag, U Yolcu, VR Uslu, MA Basaran
Expert Systems with Applications 37 (7), 5052-5055, 2010
1502010
A new approach based on the optimization of the length of intervals in fuzzy time series
E Egrioglu, CH Aladag, MA Basaran, U Yolcu, VR Uslu
Journal of Intelligent & Fuzzy Systems 22 (1), 15-19, 2011
1282011
A new model selection strategy in artificial neural networks
E Eğrioğlu, ÇH Aladağ, S Günay
Applied Mathematics and Computation 195 (2), 591-597, 2008
1252008
A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model
E Egrioglu, CH Aladag, U Yolcu, MA Basaran, VR Uslu
Expert Systems with Applications 36 (4), 7424-7434, 2009
1232009
A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks
CH Aladag, U Yolcu, E Egrioglu
Mathematics and Computers in Simulation 81 (4), 875-882, 2010
1182010
Fuzzy time series forecasting method based on Gustafson–Kessel fuzzy clustering
E Egrioglu, CH Aladag, U Yolcu, VR Uslu, NA Erilli
Expert Systems with Applications 38 (8), 10355-10357, 2011
1172011
Recurrent multiplicative neuron model artificial neural network for non-linear time series forecasting
E Egrioglu, U Yolcu, CH Aladag, E Bas
Neural Processing Letters 41, 249-258, 2015
1112015
A modified genetic algorithm for forecasting fuzzy time series
E Bas, VR Uslu, U Yolcu, E Egrioglu
Applied intelligence 41, 453-463, 2014
852014
A new hybrid method for time series forecasting: AR–ANFIS
B Sarıca, E Eğrioğlu, B Aşıkgil
Neural Computing and Applications 29, 749-760, 2018
772018
High order fuzzy time series method based on pi-sigma neural network
E Bas, C Grosan, E Egrioglu, U Yolcu
Engineering Applications of Artificial Intelligence 72, 350-356, 2018
762018
Intuitionistic fuzzy time series functions approach for time series forecasting
E Bas, U Yolcu, E Egrioglu
Granular Computing 6 (3), 619-629, 2021
752021
A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations
VR Uslu, E Bas, U Yolcu, E Egrioglu
Swarm and Evolutionary Computation 15, 19-26, 2014
722014
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