Erol Egrioglu

发表

Forecasting nonlinear time series with a hybrid methodology

Çagdas Hakan Aladag, Erol Egrioglu, Cem Kadilar, 2009, Appl. Math. Lett..

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

Erol Egrioglu, Cem Kocak, Eren Bas, 2020, The Journal of Supercomputing.

A Hybrid High Order Fuzzy Time Series Forecasting Approach Based on PSO and ANNs Methods

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2016 .

A hybrid algorithm based on artificial bat and backpropagation algorithms for multiplicative neuron model artificial neural networks

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2020, Journal of Ambient Intelligence and Humanized Computing.

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2012, Appl. Soft Comput..

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

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2018, J. Intell. Fuzzy Syst..

Fuzzy lagged variable selection in fuzzy time series with genetic algorithms

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2014, Appl. Soft Comput..

Nonlinear forecasting with a hybrid approach combining SARIMA, ARCH and ANN

Erol Egrioglu, Cem Kadilar, Cagdas Hakan Aladag, 2011 .

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

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2018, J. Artif. Intell. Soft Comput. Res..

Multiplicative neuron model artificial neural network based on Gaussian activation function

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2015, Neural Computing and Applications.

Robust learning algorithm for multiplicative neuron model artificial neural networks

Erol Egrioglu, Eren Bas, Vedide R. Uslu, 2016, Expert Syst. Appl..

A New Neural Network Model with Deterministic Trend and Seasonality Components for Time Series Forecasting

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2017 .

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

Çagdas Hakan Aladag, Erol Egrioglu, I. Burhan Türksen, 2016, Int. J. Data Anal. Tech. Strateg..

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2014, Neural Processing Letters.

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2014, J. Intell. Fuzzy Syst..

A New Time Series Prediction Method based on Intuitionistic Fuzzy C Means and Sigma Pi Neural Network

Erol Egrioglu, Eren Bas, Ozge Cagcag Yolcu, 2019, International Days of Statistics and Economics 2019.

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2014, J. Intell. Fuzzy Syst..

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2015, Applied Intelligence.

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2012, Neural Processing Letters.

A modified genetic algorithm for forecasting fuzzy time series

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2014, Applied Intelligence.

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

Erol Egrioglu, Edwin Lughofer, Mu-Yen Chen, 2020, Libr. Hi Tech.

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2011, Expert Syst. Appl..

Intuitionistic fuzzy time series functions approach for time series forecasting

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2020 .

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

Erol Egrioglu, Baris Asikgil, Busenur Sarica, 2018, Neural Computing and Applications.

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2009, Expert Syst. Appl..

Median-Pi artificial neural network for forecasting

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2017, Neural Computing and Applications.

Bayesian model selection in ARFIMA models

Erol Egrioglu, Süleyman Günay, S. Günay, 2010, Expert Syst. Appl..

Intuitionistic fuzzy ridge regression functions

Erol Egrioglu, Busenur Kizilaslan, Atif Evren, 2020, Commun. Stat. Simul. Comput..

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2010, Math. Comput. Simul..

Intuitionistic high-order fuzzy time series forecasting method based on pi-sigma artificial neural networks trained by artificial bee colony

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2018, Granular Computing.

Recurrent ANFIS for Time Series Forecasting

Erol Egrioglu, Baris Asikgil, Busenur Sarıca, 2017 .

Support Vector Machines vs Multiplicative Neuron Model Neural Network in Prediction of Bank Failures

Erol Egrioglu, Esra Akdeniz, Birsen Eygi Erdoğan, 2017 .

Classification with Some Artificial Neural Network Classifiers Trained a Modified Particle Swarm Optimization

Erol Egrioglu, Taner Tunç, Erdinç Kolay, 2016 .

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

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2019, Soft Computing.

An Investigation of Differencing Effect in Multiplicative Neuron Model Artificial Neural Network for Istanbul Stock Exchange Time Series Forecasting

Erol Egrioglu, Ufuk Yolcu, Ali Zafer Dalar, 2014 .

Single Multiplicative Neuron Model Artificial Neuron Network Trained by Bat Algorithm for Time Series Forecasting

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2016 .

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

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2020, Eng. Appl. Artif. Intell..

Intuitionistic time series fuzzy inference system

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2019, Eng. Appl. Artif. Intell..

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

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2014, Swarm Evol. Comput..

Recurrent type-1 fuzzy functions approach for time series forecasting

Erol Egrioglu, Nihat Tak, Atif A. Evren, 2017, Applied Intelligence.

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2011, J. Intell. Fuzzy Syst..

Type 1 fuzzy function approach based on ridge regression for forecasting

Erol Egrioglu, Crina Grosan, Ufuk Yolcu, 2018, Granular Computing.

Comparisons of Logistic Regression and Artificial Neural Networks in Lung Cancer Data

Erol Egrioglu, Yüksel Öner, Taner Tunç, 2013 .

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2009, Expert Syst. Appl..

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

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2017, Neural Processing Letters.

Bootstrap Type-1 Fuzzy Functions Approach for Time Series Forecasting

Erol Egrioglu, Ali Zafer Dalar, E. Eğrioğlu, 2018 .

A Novel Seasonal Fuzzy Time Series Method to the Forecasting of Air Pollution Data in Ankara

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2013 .

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

Erol Egrioglu, Crina Grosan, Ufuk Yolcu, 2018, Eng. Appl. Artif. Intell..

Finding an optimal interval length in high order fuzzy time series

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2010, Expert Syst. Appl..

Fuzzy Functions Approach for Time Series Forecasting

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2017 .

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2011, Expert Syst. Appl..

Improving weighted information criterion by using optimization

Erol Egrioglu, Murat Alper Basaran, Cagdas Hakan Aladag, 2010, J. Comput. Appl. Math..

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

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2019, J. Exp. Theor. Artif. Intell..

A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting

Erol Egrioglu, Robert Fildes, R. Fildes, 2020, Computational Economics.

Forecast Combination by Using Artificial Neural Networks

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2010, Neural Processing Letters.

A Fuzzy Time Series Forecasting Method Based on Operation of Union and Feed Forward Artificial Neural Network

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2015 .

Improvement in Forecasting Accuracy Using the Hybrid Model of ARFIMA and Feed Forward Neural Network

Erol Egrioglu, Cem Kadilar, Cagdas Hakan Aladag, 2012 .

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2013, Decis. Support Syst..

A new model selection strategy in artificial neural networks

Çagdas Hakan Aladag, Erol Egrioglu, Süleyman Günay, 2008, Appl. Math. Comput..

A New Hybrid Fuzzy Time Series Forecasting Approach Based on Intelligent Optimization

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2015 .

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

Erol Egrioglu, Cem Kocak, Eren Bas, 2019, Soft Computing.

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2013, Expert Syst. Appl..

A New Multilayer Feedforward Network Based on Trimmed Mean Neuron Model

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2015 .

An ensemble of single multiplicative neuron models for probabilistic prediction

Erol Egrioglu, Yaochu Jin, Ufuk Yolcu, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Probabilistic Fuzzy Time Series Method Based on Artificial Neural Network

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2016 .

Advances in Time Series Forecasting

Erol Egrioglu, Cem Kadilar, Cagdas Hakan Aladag, 2012 .

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

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2020, J. Comput. Appl. Math..

Recurrent Type Fuzzy Time Series Forecasting Method Based on Artificial Neural Networks

Erol Egrioglu, Ufuk Yolcu, Cem Kocak, 2015 .

ANew Time-Invariant Fuzzy Time Series ForecastingMethod Based on Genetic Algorithm

Erol Egrioglu, E. Eğrioğlu, 2012 .

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

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2014, Neural Processing Letters.

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

Erol Egrioglu, E. Eğrioğlu, 2012, Adv. Fuzzy Syst..

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

Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, 2009, Appl. Soft Comput..

An Statistical Research on Feed Forward Neural Networks for Forecasting Time Series

Erol Egrioglu, Cagdas Hakan Aladag, Faruk Alpaslan, 2012 .

Deep learning: emerging trends, applications and research challenges

Erol Egrioglu, Edwin Lughofer, Mu-Yen Chen, 2020, Soft Comput..

A New Journal for Forecasting Research

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2017 .

AR–ARCH Type Artificial Neural Network for Forecasting

Erol Egrioglu, Ali Zafer Dalar, Burcin Seyda Corba, 2019, Neural Processing Letters.

Multivariate Picture Fuzzy Time Series: New Definitions and a New Forecasting Method Based on Pi-Sigma Artificial Neural Network

Erol Egrioglu, Eren Bas, Taner Tunc, 2021, Computational Economics.

An adaptive forecast combination approach based on meta intuitionistic fuzzy functions

Erol Egrioglu, Ufuk Yolcu, Eren Bas, 2021, J. Intell. Fuzzy Syst..

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

Erol Egrioglu, Eren Bas, Emine Kolemen, 2021, Granular Computing.

Recurrent fuzzy time series functions approaches for forecasting

Erol Egrioglu, Robert Fildes, Eren Baş, 2021, Granular Computing.

Threshold single multiplicative neuron artificial neural networks for non-linear time series forecasting

Erol Egrioglu, Eren Bas, Asiye Nur Yildirim, 2021, Journal of applied statistics.

The Training of Pi-Sigma Artificial Neural Networks with Differential Evolution Algorithm for Forecasting

Erol Egrioglu, Eren Bas, Oguzhan Yılmaz, 2021, Computational Economics.

Cloud & fog computing: intelligent applications

Erol Egrioglu, Mu-Yen Chen, Edwin David Lughofer, 2021, Enterp. Inf. Syst..

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

Erol Egrioglu, Ufuk Yolcu, Ozge Cagcag Yolcu, 2016 .

Robust multilayer neural network based on median neuron model

Erol Egrioglu, Ufuk Yolcu, Ç. Aladag, 2012, Neural Computing and Applications.

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

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2013 .

HIGH ORDER FUZZY TIME SERIES MODEL AND ITS APLICATION TO IMKB

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2010 .

A New Seasonal Fuzzy Time Series Method Based on the Multiplicative Neuron Model and SARIMA

Erol Egrioglu, Cagdas Hakan Aladag, Sibel Aladag, 2012 .

PSO-based high order time invariant fuzzy time series method: Application to stock exchange data

Erol Egrioglu, E. Egrioglu, E. Eğrioğlu, 2014 .

A NEW FUZZY TIME SERIES ANALYSIS APPROACH BY USING DIFFERENTIAL EVOLUTION ALGORITHM AND CHRONOLOGICALLY-DETERMINED WEIGHTS

Erol Egrioglu, Vedide Rezan Uslu, Ufuk Yolcu, 2013 .

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

Erol Egrioglu, Ufuk Yolcu, Murat Alper Basaran, 2009, Expert Syst. Appl..

An ARMA Type Fuzzy Time Series Forecasting Method Based on Particle Swarm Optimization

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2013 .

A New Architecture Selection Strategy in Solving Seasonal Autoregressive Time Series by Artificial Neural Networks

Erol Egrioglu, Cagdas Hakan Aladag, Süleyman Günay, 2008 .

A Novel Seasonal Fuzzy Time Series Method

Erol Egrioglu, Cagdas Hakan Aladag, Ufuk Yolcu, 2012 .

Modeling Brain Wave Data by Using Artificial Neural Networks

Erol Egrioglu, Cem Kadilar, Cagdas Hakan Aladag, 2010 .

A Fuzzy Time Series Analysis Approach by Using Differential Evolution Algorithm Based on the Number of Recurrences of Fuzzy Relations

Erol Egrioglu, Vedide Rezan Uslu, Ufuk Yolcu, 2013 .