Erol Egrioglu

According to our database, Erol Egrioglu authored at least 65 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Eren Bas, Erol Egrioglu, Turan Cansu

Expert Syst. Appl., March, 2024

2023

Robust intuitionistic fuzzy regression functions approaches.

Erol Egrioglu, Eren Bas

Inf. Sci., August, 2023

Statistical learning algorithms for dendritic neuron model artificial neural network based on sine cosine algorithm.

Hasan Huseyin Gul, Erol Egrioglu, Eren Bas

Inf. Sci., June, 2023

A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks.

Erol Egrioglu, Crina Grosan, Eren Bas

J. Supercomput., May, 2023

A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks.

Eren Bas, Erol Egrioglu, Ufuk Yolcu, Mu-Yen Chen

Big Data, April, 2023

A new explainable robust high-order intuitionistic fuzzy time-series method.

Cem Kocak, Erol Egrioglu, Eren Bas

Soft Comput., February, 2023

A new hybrid recurrent artificial neural network for time series forecasting.

Erol Egrioglu, Eren Bas

Neural Comput. Appl., 2023

2022

Introduction to the Special Issue on Smart Systems for Industry 4.0 and IoT.

Mu-Yen Chen, Bhavani Thuraisingham, Erol Egrioglu, José de Jesús Rubio

ACM Trans. Manag. Inf. Syst., December, 2022

Editorial.

Mu-Yen Chen, Chien Hsiang Liao, Edwin David Lughofer, Erol Egrioglu

Libr. Hi Tech, 2022

Recurrent dendritic neuron model artificial neural network for time series forecasting.

Erol Egrioglu, Eren Bas, Mu-Yen Chen

Inf. Sci., 2022

A fuzzy regression functions approach based on Gustafson-Kessel clustering algorithm.

Eren Bas, Erol Egrioglu

Inf. Sci., 2022

Deep learning and intelligent system towards smart manufacturing.

Mu-Yen Chen, Edwin David Lughofer, Erol Egrioglu

Enterp. Inf. Syst., 2022

A novel intuitionistic fuzzy time series method based on bootstrapped combined pi-sigma artificial neural network.

Eren Bas, Erol Egrioglu, Emine Kolemen

Eng. Appl. Artif. Intell., 2022

Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan.

Ozge Cagcag Yolcu, Erol Egrioglu, Eren Bas, Ufuk Yolcu

Appl. Soft Comput., 2022

2021

A new deep intuitionistic fuzzy time series forecasting method based on long short-term memory.

Cem Kocak, Erol Egrioglu, Eren Bas

J. Supercomput., 2021

An adaptive forecast combination approach based on meta intuitionistic fuzzy functions.

Nihat Tak, Erol Egrioglu, Eren Bas, Ufuk Yolcu

J. Intell. Fuzzy Syst., 2021

Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network.

Ufuk Yolcu, Erol Egrioglu, Eren Bas, Ozge Cagcag Yolcu, Ali Zafer Dalar

J. Exp. Theor. Artif. Intell., 2021

Cloud & fog computing: intelligent applications.

Mu-Yen Chen, Edwin David Lughofer, Erol Egrioglu

Enterp. Inf. Syst., 2021

2020

A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction.

Ozge Cagcag Yolcu, Eren Bas, Erol Egrioglu, Ufuk Yolcu

Soft Comput., 2020

A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network.

Cem Kocak, Ali Zafer Dalar, Ozge Cagcag Yolcu, Eren Bas, Erol Egrioglu

Soft Comput., 2020

Deep learning: emerging trends, applications and research challenges.

Mu-Yen Chen, Hsiu-Sen Chiang, Edwin Lughofer, Erol Egrioglu

Soft Comput., 2020

AR-ARCH Type Artificial Neural Network for Forecasting.

Burcin Seyda Corba, Erol Egrioglu, Ali Zafer Dalar

Neural Process. Lett., 2020

Informetrics on social network mining: research, policy and practice challenges.

Mu-Yen Chen, Chien Hsiang Liao, Edwin Lughofer, Erol Egrioglu

Libr. Hi Tech, 2020

Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm.

Eren Bas, Ufuk Yolcu, Erol Egrioglu

J. Comput. Appl. Math., 2020

Picture fuzzy time series: Defining, modeling and creating a new forecasting method.

Erol Egrioglu, Eren Bas, Ufuk Yolcu, Mu-Yen Chen

Eng. Appl. Artif. Intell., 2020

Intuitionistic fuzzy ridge regression functions.

Busenur Kizilaslan, Erol Egrioglu, Atif Ahmet Evren

Commun. Stat. Simul. Comput., 2020

2019

Median-Pi artificial neural network for forecasting.

Erol Egrioglu, Ufuk Yolcu, Eren Bas, Ali Zafer Dalar

Neural Comput. Appl., 2019

Intuitionistic time series fuzzy inference system.

Erol Egrioglu, Eren Bas, Ozge Cagcag Yolcu, Ufuk Yolcu

Eng. Appl. Artif. Intell., 2019

2018

Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling.

Ozge Cagcag Yolcu, Eren Bas, Erol Egrioglu, Ufuk Yolcu

Neural Process. Lett., 2018

A new hybrid method for time series forecasting: AR-ANFIS.

Busenur Sarica, Erol Egrioglu, Baris Asikgil

Neural Comput. Appl., 2018

A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap.

Ufuk Yolcu, Eren Bas, Erol Egrioglu

J. Intell. Fuzzy Syst., 2018

An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting.

Esra Akdeniz, Erol Egrioglu, Eren Bas, Ufuk Yolcu

J. Artif. Intell. Soft Comput. Res., 2018

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

Eren Bas, Crina Grosan, Erol Egrioglu, Ufuk Yolcu

Eng. Appl. Artif. Intell., 2018

Recurrent type-1 fuzzy functions approach for time series forecasting.

Nihat Tak, Atif A. Evren, Mujgan Tez, Erol Egrioglu

Appl. Intell., 2018

2016

Multiplicative neuron model artificial neural network based on Gaussian activation function.

Ozge Gundogdu, Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu

Neural Comput. Appl., 2016

Type-1 fuzzy time series function method based on binary particle swarm optimisation.

Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Ismail Burhan Türksen

Int. J. Data Anal. Tech. Strateg., 2016

Robust learning algorithm for multiplicative neuron model artificial neural networks.

Eren Bas, Vedide Rezan Uslu, Erol Egrioglu

Expert Syst. Appl., 2016

An ensemble of single multiplicative neuron models for probabilistic prediction.

Ufuk Yolcu, Yaochu Jin, Erol Egrioglu

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting.

Erol Egrioglu, Ufuk Yolcu, Çagdas Hakan Aladag, Eren Bas

Neural Process. Lett., 2015

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

Eren Bas, Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu

Appl. Intell., 2015

2014

A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations.

Vedide Rezan Uslu, Eren Bas, Ufuk Yolcu, Erol Egrioglu

Swarm Evol. Comput., 2014

Robust multilayer neural network based on median neuron model.

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu

Neural Comput. Appl., 2014

An enhanced fuzzy time series forecasting method based on artificial bee colony.

Ufuk Yolcu, Ozge Cagcag, Çagdas Hakan Aladag, Erol Egrioglu

J. Intell. Fuzzy Syst., 2014

A high order seasonal fuzzy time series model and application to international tourism demand of Turkey.

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, Vedide R. Uslu

J. Intell. Fuzzy Syst., 2014

Fuzzy lagged variable selection in fuzzy time series with genetic algorithms.

Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Eren Bas

Appl. Soft Comput., 2014

A modified genetic algorithm for forecasting fuzzy time series.

Eren Bas, Vedide Rezan Uslu, Ufuk Yolcu, Erol Egrioglu

Appl. Intell., 2014

2013

A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization.

Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu

Neural Process. Lett., 2013

Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks.

Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu

Expert Syst. Appl., 2013

A new linear & nonlinear artificial neural network model for time series forecasting.

Ufuk Yolcu, Erol Egrioglu, Çagdas Hakan Aladag

Decis. Support Syst., 2013

2012

A new time invariant fuzzy time series forecasting method based on particle swarm optimization.

Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Ali Zafer Dalar

Appl. Soft Comput., 2012

A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm.

Erol Egrioglu

Adv. Fuzzy Syst., 2012

2011

A new approach based on the optimization of the length of intervals in fuzzy time series.

Erol Egrioglu, Çagdas Hakan Aladag, Murat Alper Basaran, Ufuk Yolcu, Vedide R. Uslu

J. Intell. Fuzzy Syst., 2011

Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks.

N. Alp Erilli, Ufuk Yolcu, Erol Egrioglu, Çagdas Hakan Aladag, Yüksel Öner

Expert Syst. Appl., 2011

Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering.

Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, N. Alp Erilli

Expert Syst. Appl., 2011

2010

Forecast Combination by Using Artificial Neural Networks.

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu

Neural Process. Lett., 2010

A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks.

Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu

Math. Comput. Simul., 2010

Improving weighted information criterion by using optimization.

Çagdas Hakan Aladag, Erol Egrioglu, Süleyman Günay, Murat Alper Basaran

J. Comput. Appl. Math., 2010

Bayesian model selection in ARFIMA models.

Erol Egrioglu, Süleyman Günay

Expert Syst. Appl., 2010

Finding an optimal interval length in high order fuzzy time series.

Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, Murat Alper Basaran

Expert Syst. Appl., 2010

2009

A new approach based on artificial neural networks for high order multivariate fuzzy time series.

Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, Murat Alper Basaran

Expert Syst. Appl., 2009

A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model.

Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Murat Alper Basaran, Vedide R. Uslu

Expert Syst. Appl., 2009

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations.

Çagdas Hakan Aladag, Murat Alper Basaran, Erol Egrioglu, Ufuk Yolcu, Vedide R. Uslu

Expert Syst. Appl., 2009

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

Ufuk Yolcu, Erol Egrioglu, Vedide R. Uslu, Murat Alper Basaran, Çagdas Hakan Aladag

Appl. Soft Comput., 2009

Forecasting nonlinear time series with a hybrid methodology.

Çagdas Hakan Aladag, Erol Egrioglu, Cem Kadilar

Appl. Math. Lett., 2009

2008

A new model selection strategy in artificial neural networks.

Erol Egrioglu, Çagdas Hakan Aladag, Süleyman Günay

Appl. Math. Comput., 2008