Erol Egrioglu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 41

Top Topics

Intuitionistic Fuzzy

Genetic Algorithm

Top Venues

Neural Comput. Appl.

Eng. Appl. Artif. Intell.

J. Intell. Fuzzy Syst.

Publications

Erol Egrioglu, Eren Bas
A new deep neural network for forecasting: Deep dendritic artificial neural network. Artif. Intell. Rev. 57 (7) (2024)
Chia-Chen Chen, Patrick C. K. Hung, Erol Egrioglu, Dickson K. W. Chiu, Kevin K. W. Ho
Guest editorial: Contemporary learning behaviors on mobile devices and social media - part II. Libr. Hi Tech 42 (2) (2024)
Eren Bas, Erol Egrioglu, Turan Cansu
Robust training of median dendritic artificial neural networks for time series forecasting. Expert Syst. Appl. 238 (Part C) (2024)
Erol Egrioglu, Eren Bas
Robust intuitionistic fuzzy regression functions approaches. Inf. Sci. 638 (2023)
Chia-Chen Chen, Patrick C. K. Hung, Erol Egrioglu, Dickson K. W. Chiu, Kevin K. W. Ho
Guest editorial: Contemporary learning behaviors on mobile devices and social media. Libr. Hi Tech 41 (5) (2023)
Eren Bas, Erol Egrioglu, Ufuk Yolcu, Mu-Yen Chen
A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks. Big Data 11 (2) (2023)
Cem Kocak, Erol Egrioglu, Eren Bas
A new explainable robust high-order intuitionistic fuzzy time-series method. Soft Comput. 27 (3) (2023)
Erol Egrioglu, Eren Bas
A new hybrid recurrent artificial neural network for time series forecasting. Neural Comput. Appl. 35 (3) (2023)
Erol Egrioglu, Crina Grosan, Eren Bas
A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks. J. Supercomput. 79 (7) (2023)
Hasan Huseyin Gul, Erol Egrioglu, Eren Bas
Statistical learning algorithms for dendritic neuron model artificial neural network based on sine cosine algorithm. Inf. Sci. 629 (2023)
Mu-Yen Chen, Edwin David Lughofer, Erol Egrioglu
Deep learning and intelligent system towards smart manufacturing. Enterp. Inf. Syst. 16 (2) (2022)
Mu-Yen Chen, Chien Hsiang Liao, Edwin David Lughofer, Erol Egrioglu
Editorial. Libr. Hi Tech 40 (1) (2022)
Mu-Yen Chen, Bhavani Thuraisingham, Erol Egrioglu, José de Jesús Rubio
Introduction to the Special Issue on Smart Systems for Industry 4.0 and IoT. ACM Trans. Manag. Inf. Syst. 13 (4) (2022)
Erol Egrioglu, Eren Bas, Mu-Yen Chen
Recurrent dendritic neuron model artificial neural network for time series forecasting. Inf. Sci. 607 (2022)
Eren Bas, Erol Egrioglu
A fuzzy regression functions approach based on Gustafson-Kessel clustering algorithm. Inf. Sci. 592 (2022)
Ozge Cagcag Yolcu, Erol Egrioglu, Eren Bas, Ufuk Yolcu
Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan. Appl. Soft Comput. 116 (2022)
Eren Bas, Erol Egrioglu, Emine Kolemen
A novel intuitionistic fuzzy time series method based on bootstrapped combined pi-sigma artificial neural network. Eng. Appl. Artif. Intell. 114 (2022)
Nihat Tak, Erol Egrioglu, Eren Bas, Ufuk Yolcu
An adaptive forecast combination approach based on meta intuitionistic fuzzy functions. J. Intell. Fuzzy Syst. 40 (5) (2021)
Ufuk Yolcu, Erol Egrioglu, Eren Bas, Ozge Cagcag Yolcu, Ali Zafer Dalar
Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network. J. Exp. Theor. Artif. Intell. 33 (3) (2021)
Mu-Yen Chen, Edwin David Lughofer, Erol Egrioglu
Cloud & fog computing: intelligent applications. Enterp. Inf. Syst. 15 (9) (2021)
Cem Kocak, Erol Egrioglu, Eren Bas
A new deep intuitionistic fuzzy time series forecasting method based on long short-term memory. J. Supercomput. 77 (6) (2021)
Mu-Yen Chen, Chien Hsiang Liao, Edwin Lughofer, Erol Egrioglu
Informetrics on social network mining: research, policy and practice challenges. Libr. Hi Tech 38 (2) (2020)
Mu-Yen Chen, Hsiu-Sen Chiang, Edwin Lughofer, Erol Egrioglu
Deep learning: emerging trends, applications and research challenges. Soft Comput. 24 (11) (2020)
Eren Bas, Ufuk Yolcu, Erol Egrioglu
Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm. J. Comput. Appl. Math. 370 (2020)
Cem Kocak, Ali Zafer Dalar, Ozge Cagcag Yolcu, Eren Bas, Erol Egrioglu
A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network. Soft Comput. 24 (11) (2020)
Busenur Kizilaslan, Erol Egrioglu, Atif Ahmet Evren
Intuitionistic fuzzy ridge regression functions. Commun. Stat. Simul. Comput. 49 (3) (2020)
Erol Egrioglu, Eren Bas, Ufuk Yolcu, Mu-Yen Chen
Picture fuzzy time series: Defining, modeling and creating a new forecasting method. Eng. Appl. Artif. Intell. 88 (2020)
Burcin Seyda Corba, Erol Egrioglu, Ali Zafer Dalar
AR-ARCH Type Artificial Neural Network for Forecasting. Neural Process. Lett. 51 (1) (2020)
Ozge Cagcag Yolcu, Eren Bas, Erol Egrioglu, Ufuk Yolcu
A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction. Soft Comput. 24 (11) (2020)
Erol Egrioglu, Eren Bas, Ozge Cagcag Yolcu, Ufuk Yolcu
Intuitionistic time series fuzzy inference system. Eng. Appl. Artif. Intell. 82 (2019)
Erol Egrioglu, Ufuk Yolcu, Eren Bas, Ali Zafer Dalar
Median-Pi artificial neural network for forecasting. Neural Comput. Appl. 31 (1) (2019)
Ozge Cagcag Yolcu, Eren Bas, Erol Egrioglu, Ufuk Yolcu
Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling. Neural Process. Lett. 47 (3) (2018)
Eren Bas, Crina Grosan, Erol Egrioglu, Ufuk Yolcu
High order fuzzy time series method based on pi-sigma neural network. Eng. Appl. Artif. Intell. 72 (2018)
Busenur Sarica, Erol Egrioglu, Baris Asikgil
A new hybrid method for time series forecasting: AR-ANFIS. Neural Comput. Appl. 29 (3) (2018)
Nihat Tak, Atif A. Evren, Mujgan Tez, Erol Egrioglu
Recurrent type-1 fuzzy functions approach for time series forecasting. Appl. Intell. 48 (1) (2018)
Ufuk Yolcu, Eren Bas, Erol Egrioglu
A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap. J. Intell. Fuzzy Syst. 35 (2) (2018)
Esra Akdeniz, Erol Egrioglu, Eren Bas, Ufuk Yolcu
An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting. J. Artif. Intell. Soft Comput. Res. 8 (2) (2018)
Ozge Gundogdu, Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu
Multiplicative neuron model artificial neural network based on Gaussian activation function. Neural Comput. Appl. 27 (4) (2016)
Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Ismail Burhan Türksen
Type-1 fuzzy time series function method based on binary particle swarm optimisation. Int. J. Data Anal. Tech. Strateg. 8 (1) (2016)
Eren Bas, Vedide Rezan Uslu, Erol Egrioglu
Robust learning algorithm for multiplicative neuron model artificial neural networks. Expert Syst. Appl. 56 (2016)
Ufuk Yolcu, Yaochu Jin, Erol Egrioglu
An ensemble of single multiplicative neuron models for probabilistic prediction. SSCI (2016)
Eren Bas, Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu
Fuzzy-time-series network used to forecast linear and nonlinear time series. Appl. Intell. 43 (2) (2015)
Erol Egrioglu, Ufuk Yolcu, Çagdas Hakan Aladag, Eren Bas
Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting. Neural Process. Lett. 41 (2) (2015)
Eren Bas, Vedide Rezan Uslu, Ufuk Yolcu, Erol Egrioglu
A modified genetic algorithm for forecasting fuzzy time series. Appl. Intell. 41 (2) (2014)
Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Eren Bas
Fuzzy lagged variable selection in fuzzy time series with genetic algorithms. Appl. Soft Comput. 22 (2014)
Vedide Rezan Uslu, Eren Bas, Ufuk Yolcu, Erol Egrioglu
A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations. Swarm Evol. Comput. 15 (2014)
Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu
Robust multilayer neural network based on median neuron model. Neural Comput. Appl. 24 (3-4) (2014)
Ufuk Yolcu, Ozge Cagcag, Çagdas Hakan Aladag, Erol Egrioglu
An enhanced fuzzy time series forecasting method based on artificial bee colony. J. Intell. Fuzzy Syst. 26 (6) (2014)
Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, Vedide R. Uslu
A high order seasonal fuzzy time series model and application to international tourism demand of Turkey. J. Intell. Fuzzy Syst. 26 (1) (2014)
Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu
A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization. Neural Process. Lett. 37 (3) (2013)
Ufuk Yolcu, Erol Egrioglu, Çagdas Hakan Aladag
A new linear & nonlinear artificial neural network model for time series forecasting. Decis. Support Syst. 54 (3) (2013)
Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu
Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks. Expert Syst. Appl. 40 (3) (2013)
Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Ali Zafer Dalar
A new time invariant fuzzy time series forecasting method based on particle swarm optimization. Appl. Soft Comput. 12 (10) (2012)
Erol Egrioglu
A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm. Adv. Fuzzy Syst. 2012 (2012)
Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, N. Alp Erilli
Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. Expert Syst. Appl. 38 (8) (2011)
Erol Egrioglu, Çagdas Hakan Aladag, Murat Alper Basaran, Ufuk Yolcu, Vedide R. Uslu
A new approach based on the optimization of the length of intervals in fuzzy time series. J. Intell. Fuzzy Syst. 22 (1) (2011)
N. Alp Erilli, Ufuk Yolcu, Erol Egrioglu, Çagdas Hakan Aladag, Yüksel Öner
Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks. Expert Syst. Appl. 38 (3) (2011)
Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu
Forecast Combination by Using Artificial Neural Networks. Neural Process. Lett. 32 (3) (2010)
Erol Egrioglu, Süleyman Günay
Bayesian model selection in ARFIMA models. Expert Syst. Appl. 37 (12) (2010)
Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu
A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks. Math. Comput. Simul. 81 (4) (2010)
Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, Murat Alper Basaran
Finding an optimal interval length in high order fuzzy time series. Expert Syst. Appl. 37 (7) (2010)
Çagdas Hakan Aladag, Erol Egrioglu, Süleyman Günay, Murat Alper Basaran
Improving weighted information criterion by using optimization. J. Comput. Appl. Math. 233 (10) (2010)
Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Murat Alper Basaran, Vedide R. Uslu
A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model. Expert Syst. Appl. 36 (4) (2009)
Çagdas Hakan Aladag, Erol Egrioglu, Cem Kadilar
Forecasting nonlinear time series with a hybrid methodology. Appl. Math. Lett. 22 (9) (2009)
Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, Murat Alper Basaran
A new approach based on artificial neural networks for high order multivariate fuzzy time series. Expert Syst. Appl. 36 (7) (2009)
Çagdas Hakan Aladag, Murat Alper Basaran, Erol Egrioglu, Ufuk Yolcu, Vedide R. Uslu
Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. Expert Syst. Appl. 36 (3) (2009)
Ufuk Yolcu, Erol Egrioglu, Vedide R. Uslu, Murat Alper Basaran, Çagdas Hakan Aladag
A new approach for determining the length of intervals for fuzzy time series. Appl. Soft Comput. 9 (2) (2009)
Erol Egrioglu, Çagdas Hakan Aladag, Süleyman Günay
A new model selection strategy in artificial neural networks. Appl. Math. Comput. 195 (2) (2008)