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Erol Eğrioğlu

23 works· latest 2024· 3 institutionscluster: provisionalORCID 0000-0003-4301-4149

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Citations2,163

Works here23

Most cited in this library

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations2008 · 182 citations
Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks2012 · 170 citations
Forecasting nonlinear time series with a hybrid methodology2009 · 155 citations
A new time invariant fuzzy time series forecasting method based on particle swarm optimization2012 · 138 citations
A new linear & nonlinear artificial neural network model for time series forecasting2012 · 133 citations

Works

23 shown

A new deep neural network for forecasting: Deep dendritic artificial neural network

Artificial Intelligence Review·2024·2 authors·Open access

60citations

Robust training of median dendritic artificial neural networks for time series forecasting

Expert Systems with Applications·2023·3 authors

63citations

Recurrent dendritic neuron model artificial neural network for time series forecasting

Information Sciences·2022·3 authors

42citations

Training simple recurrent deep artificial neural network for forecasting using particle swarm optimization

Granular Computing·2021·3 authors

86citations

Recurrent fuzzy time series functions approaches for forecasting

Granular Computing·2021·3 authors

42citations

High order fuzzy time series method based on pi-sigma neural network

Engineering Applications of Artificial Intelligence·2018·4 authors

77citations

Recurrent type-1 fuzzy functions approach for time series forecasting

Applied Intelligence·2017·4 authors·Open access

A new hybrid method for time series forecasting: AR–ANFIS

Neural Computing and Applications·2016·3 authors

78citations

High order fuzzy time series forecasting method based on an intersection operation

Applied Mathematical Modelling·2016·4 authors·Open access

61citations

Fuzzy-time-series network used to forecast linear and nonlinear time series

Applied Intelligence·2015·4 authors·Open access

64citations

Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market

Journal of Statistical Computation and Simulation·2011·4 authors

55citations

Fuzzy time series forecasting method based on Gustafson–Kessel fuzzy clustering

Expert Systems with Applications·2011·5 authors

97citations

Forecast Combination by Using Artificial Neural Networks

Neural Processing Letters·2010·3 authors

40citations

Finding an optimal interval length in high order fuzzy time series

Expert Systems with Applications·2009·5 authors

114citations

Forecasting nonlinear time series with a hybrid methodology

Applied Mathematics Letters·2009·3 authors·Open access

155citations

A new approach for determining the length of intervals for fuzzy time series

Applied Soft Computing·2008·5 authors

133citations