Erol Egrioglu - Publications & Outputs - Research Portal

Professor Erol Egrioglu

Formerly at Lancaster University

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2022
Published
A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting
Eğrioğlu, E. & Fildes, R., 30/04/2022, In: Computational Economics. 59, 4, p. 1355-1383 29 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Deep Learning for Financial Engineering
Chen, M.-Y., Sangaiah, A. K., Chen, T.-H., Lughofer, E. D. & Egrioglu, E., 30/04/2022, In: Computational Economics. 59, 4, p. 1277-1281 5 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2021
Published
Cloud & fog computing: intelligent applications
Chen, M.-Y., Lughofer, E. D. & Egrioglu, E., 31/10/2021, In: Enterprise Information Systems. 15, 9, p. 1197-1199 3 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Intuitionistic Fuzzy Time Series Functions Approach for Time Series Forecasting
Egrioglu, E., Bas, E. & Yolcu, U., 31/07/2021, In: Granular Computing. 6, 3, p. 619-629 11 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network
Yolcu, U., Egrioglu, E., Bas, E., Yolcu, O. C. & Dalar, A. Z., 30/06/2021, In: Journal of Experimental and Theoretical Artificial Intelligence. 33, 3, p. 383-404 22 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Threshold single multiplicative neuron artificial neural networks for non-linear time series forecasting
Yildirim, A. N., Bas, E. & Egrioglu, E., 30/06/2021, In: Journal of Applied Statistics. 48, 13-15, p. 2809-2825 17 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
E-pub ahead of print
Training simple recurrent deep artificial neural network for forecasting using particle swarm optimization
Bas, E., Egrioglu, E. & Kolemen, E., 22/06/2021, (E-pub ahead of print) In: Granular Computing. 10 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
An adaptive forecast combination approach based on meta intuitionistic fuzzy functions
Tak, N., Egrioglu, E., Bas, E. & Yolcu, U., 22/04/2021, In: Journal of Intelligent and Fuzzy Systems. 40, 5, p. 9567-9581 15 p., 5.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2020
Published
A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network
Kocak, C., Dalar, A. Z., Yolcu, O. C., Bas, E. & Egrioglu, E., 1/06/2020, In: Soft Computing. 24, 11, p. 8243-8252 10 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm
Bas, E., Yolcu, U. & Egrioglu, E., 15/05/2020, In: Journal of Computational and Applied Mathematics. 370, 112656.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
E-pub ahead of print
RETRACTED ARTICLE : A hybrid algorithm based on artificial bat and backpropagation algorithms for multiplicative neuron model artificial neural networks
Bas, E., Egrioglu, E. & Yolcu, U., 13/04/2020, (E-pub ahead of print) In: Journal of Ambient Intelligence and Humanized Computing. 9 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Intuitionistic fuzzy ridge regression functions
Kizilaslan, B., Egrioglu, E. & Evren, A. A., 1/03/2020, In: Communications in Statistics: Simulation and Computation. 49, 3, p. 699-708 10 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Picture fuzzy time series: Defining, modeling and creating a new forecasting method
Egrioglu, E., Bas, E., Yolcu, U. & Chen, M. Y., 28/02/2020, In: Engineering Applications of Artificial Intelligence. 88, 13 p., 103367.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
AR–ARCH Type Artificial Neural Network for Forecasting
Corba, B. S., Egrioglu, E. & Dalar, A. Z., 1/02/2020, In: Neural Processing Letters. 51, p. 819–836 18 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2019
E-pub ahead of print
A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction
Cagcag Yolcu, O., Bas, E., Egrioglu, E. & Yolcu, U., 1/11/2019, (E-pub ahead of print) In: Soft Computing. 12 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Intuitionistic time series fuzzy inference system
Egrioglu, E., Bas, E., Yolcu, O. C. & Yolcu, U., 30/06/2019, In: Engineering Applications of Artificial Intelligence. 82, p. 175-183 9 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Median-Pi artificial neural network for forecasting
Egrioglu, E., Yolcu, U., Bas, E. & Dalar, A. Z., 18/01/2019, In: Neural Computing and Applications. 31, 1, p. 307-316 10 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2018
Published
A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap
Yolcu, U., Bas, E. & Egrioglu, E., 26/08/2018, In: Journal of Intelligent and Fuzzy Systems. 35, 2, p. 2349-2358 10 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
High order fuzzy time series method based on pi-sigma neural network
Bas, E., Grosan, C., Egrioglu, E. & Yolcu, U., 1/06/2018, In: Engineering Applications of Artificial Intelligence. 72, p. 350-356 7 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling
Cagcag Yolcu, O., Bas, E., Egrioglu, E. & Yolcu, U., 1/06/2018, In: Neural Processing Letters. 47, 3, p. 1133-1147 15 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting
Akdeniz, E., Egrioglu, E., Bas, E. & Yolcu, U., 1/04/2018, In: Journal of Artificial Intelligence and Soft Computing Research. 8, 2, p. 121-132 12 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new hybrid method for time series forecasting: AR–ANFIS
Sarıca, B., Eğrioğlu, E. & Aşıkgil, B., 1/02/2018, In: Neural Computing and Applications. 29, 3, p. 749-760 12 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Recurrent type-1 fuzzy functions approach for time series forecasting
Tak, N., Evren, A. A., Tez, M. & Egrioglu, E., 1/01/2018, In: Applied Intelligence. 48, 1, p. 68-77 10 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2017
Published
Particle swarm optimization based Liu-type estimator
Inan, D., Egrioglu, E., Sarica, B., Askin, O. E. & Tez, M., 17/11/2017, In: Communications in Statistics - Theory and Methods. 46, 22, p. 11358-11369 12 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
An ensemble of single multiplicative neuron models for probabilistic prediction
Yolcu, U., Jin, Y. & Egrioglu, E., 13/02/2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 8 p. 7849975. (2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
2016
Published
High order fuzzy time series forecasting method based on an intersection operation
Cagcag Yolcu, O., Yolcu, U., Egrioglu, E. & Aladag, C. H., 1/10/2016, In: Applied Mathematical Modelling. 40, 19-20, p. 8750-8765 16 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Robust learning algorithm for multiplicative neuron model artificial neural networks
Bas, E., Uslu, V. R. & Egrioglu, E., 1/09/2016, In: Expert Systems with Applications. 56, p. 80-88 9 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Multiplicative neuron model artificial neural network based on Gaussian activation function
Gundogdu, O., Egrioglu, E., Aladag, C. H. & Yolcu, U., 1/05/2016, In: Neural Computing and Applications. 27, 4, p. 927-935 9 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Type-1 fuzzy time series function method based on binary particle swarm optimisation
Aladag, C. H., Yolcu, U., Egrioglu, E. & Turksen, I. B., 31/01/2016, In: International Journal of Data Analysis Techniques and Strategies. 8, 1, p. 2-13 12 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2015
Published
Fuzzy-time-series network used to forecast linear and nonlinear time series
Bas, E., Egrioglu, E., Aladag, C. H. & Yolcu, U., 27/09/2015, In: Applied Intelligence. 43, 2, p. 343-355 13 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting
Egrioglu, E., Yolcu, U., Aladag, C. H. & Bas, E., 1/04/2015, In: Neural Processing Letters. 41, 2, p. 249-258 10 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new robust regression method based on particle swarm optimization
Cagcag, O., Yolcu, U. & Egrioglu, E., 19/03/2015, In: Communications in Statistics - Theory and Methods. 44, 6, p. 1270-1280 11 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new multilayer feedforward network based on trimmed mean neuron model
Yolcu, U., Bas, E., Egrioglu, E. & Aladag, C. H., 1/01/2015, In: Neural Network World. 25, 6, p. 587-602 16 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Advanced Time Series Forecasting Methods
Egrioglu, E., Khashei, M., Aladag, C. H., Turksen, I. B. & Yolcu, U., 1/01/2015, In: Mathematical Problems in Engineering. 2015, 2 p., 918045.
Research output: Contribution to Journal/Magazine › Editorial › peer-review
2014
Published
A modified genetic algorithm for forecasting fuzzy time series
Bas, E., Uslu, V. R., Yolcu, U. & Egrioglu, E., 1/09/2014, In: Applied Intelligence. 41, 2, p. 453-463 11 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations
Rezan Uslu, V., Bas, E., Yolcu, U. & Egrioglu, E., 1/04/2014, In: Swarm and Evolutionary Computation. 15, p. 19-26 8 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Robust multilayer neural network based on median neuron model
Aladag, C. H., Egrioglu, E. & Yolcu, U., 1/03/2014, In: Neural Computing and Applications. 24, 3-4, p. 945-956 12 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A high order seasonal fuzzy time series model and application to international tourism demand of Turkey
Aladag, C. H., Egrioglu, E., Yolcu, U. & Uslu, V. R., 1/01/2014, In: Journal of Intelligent and Fuzzy Systems. 26, 1, p. 295-302 8 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
An enhanced fuzzy time series forecasting method based on artificial bee colony
Yolcu, U., Cagcag, O., Aladag, C. H. & Egrioglu, E., 1/01/2014, In: Journal of Intelligent and Fuzzy Systems. 26, 6, p. 2627-2637 11 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Fuzzy lagged variable selection in fuzzy time series with genetic algorithms
Aladag, C. H., Yolcu, U., Egrioglu, E. & Bas, E., 1/01/2014, In: Applied Soft Computing Journal. 22, p. 465-473 9 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
PSO-based high order time invariant fuzzy time series method: Application to stock exchange data
Egrioglu, E., 1/01/2014, In: Economic Modelling. 38, p. 633-639 7 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2013
Published
An ARMA type fuzzy time series forecasting method based on particle swarm optimization
Egrioglu, E., Yolcu, U., Aladag, C. H. & Kocak, C., 19/08/2013, In: Mathematical Problems in Engineering. 2013, 12 p., 935815.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new multiplicative seasonal neural network model based on particle swarm optimization
Aladag, C. H., Yolcu, U. & Egrioglu, E., 1/06/2013, In: Neural Processing Letters. 37, 3, p. 251-262 12 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Time-series forecasting with a novel fuzzy time-series approach: An example for Istanbul stock market
Yolcu, U., Aladag, C. H., Egrioglu, E. & Uslu, V. R., 1/04/2013, In: Journal of Statistical Computation and Simulation. 83, 4, p. 597-610 14 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks
Egrioglu, E., Aladag, C. H. & Yolcu, U., 15/02/2013, In: Expert Systems with Applications. 40, 3, p. 854-857 4 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new linear & nonlinear artificial neural network model for time series forecasting
Yolcu, U., Egrioglu, E. & Aladag, C. H., 1/01/2013, In: Decision Support Systems. 54, 3, p. 1340-1347 8 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2012
Published
A new seasonal fuzzy time series method based on the multiplicative neuron model and SARIMA
Aladag, S., Aladag, C. H., Mentes, T. & Egrioglu, E., 4/12/2012, In: Hacettepe Journal of Mathematics and Statistics. 41, 3, p. 337-345 9 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A novel seasonal fuzzy time series method
Alpaslan, F., Cagcag, O., Aladag, C. H., Yolcu, U. & Egrioglu, E., 4/12/2012, In: Hacettepe Journal of Mathematics and Statistics. 41, 3, p. 375-385 11 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A simulation based approach to calculate the fuzzy correlation coefficient of fuzzy observations
Aladag, C. H., Egrioglu, E. & Yolcu, U., 4/12/2012, In: Hacettepe Journal of Mathematics and Statistics. 41, 3, p. 361-364 4 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new time invariant fuzzy time series forecasting method based on particle swarm optimization
Aladag, C. H., Yolcu, U., Egrioglu, E. & Dalar, A. Z., 1/10/2012, In: Applied Soft Computing Journal. 12, 10, p. 3291-3299 9 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new time-invariant fuzzy time series forecasting method based on genetic algorithm
Eǧrioǧlu, E., 17/08/2012, In: Advances in Fuzzy Systems. 2012, 6 p., 785709.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2011
Published
Nonlinear forecasting with a hybrid approach combining SARIMA, ARCH and ANN
Egrioglu, E., Aladag, C. H. & Kadilar, C., 1/12/2011, New Developments in Artificial Neural Networks Research. Nova Science Publishers, Inc., p. 221-228 8 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Published
The CSS and the two-staged methods for parameter estimation in SARFIMA models
Egrioglu, E., Aladag, C. H. & Kadilar, C., 1/12/2011, In: Journal of Probability and Statistics. 2011, 12 p., 691058.
Research output: Contribution to Journal/Magazine › Review article › peer-review
Published
Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering
Egrioglu, E., Aladag, C. H., Yolcu, U., Uslu, V. R. & Erilli, N. A., 1/08/2011, In: Expert Systems with Applications. 38, 8, p. 10355-10357 3 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Reduction of patient waiting time by simulations in Ondokuz Mayis University Medical Faculty, Department of Neurosurgery
Alpaslan, F., Cag̈cag̈, Ö. & Eg̈riog̈lu, E., 4/03/2011, In: Scientific Research and Essays. 6, 5, p. 1063-1070 8 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks
Alp Erilli, N., Yolcu, U., Eǧrioǧlu, E., Hakan Aladaǧ, Ĉ. & Öner, Y., 1/03/2011, In: Expert Systems with Applications. 38, 3, p. 2248-2252 5 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new approach based on the optimization of the length of intervals in fuzzy time series
Egrioglu, E., Aladag, C. H., Basaran, M. A., Yolcu, U. & Uslu, V. R., 17/01/2011, In: Journal of Intelligent and Fuzzy Systems. 22, 1, p. 15-19 5 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2010
Published
A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks
Aladag, C. H., Yolcu, U. & Egrioglu, E., 1/12/2010, In: Mathematics and Computers in Simulation. 81, 4, p. 875-882 8 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Forecast combination by using artificial neural networks
Aladag, C. H., Egrioglu, E. & Yolcu, U., 1/12/2010, In: Neural Processing Letters. 32, 3, p. 269-276 8 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Finding an optimal interval length in high order fuzzy time series
Egrioglu, E., Aladag, C. H., Yolcu, U., Uslu, V. R. & Basaran, M. A., 1/07/2010, In: Expert Systems with Applications. 37, 7, p. 5052-5055 4 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Modeling brain wave data by using artificial neural networks
Aladag, C. H., Egrioglu, E. & Kadilar, C., 23/04/2010, In: Hacettepe Journal of Mathematics and Statistics. 39, 1, p. 81-88 8 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Improving weighted information criterion by using optimization
Aladag, C. H., Egrioglu, E., Gunay, S. & Basaran, M. A., 15/03/2010, In: Journal of Computational and Applied Mathematics. 233, 10, p. 2683-2687 5 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Bayesian model selection in ARFIMA models
Eǧrïoǧlu, E. & Günay, S., 1/01/2010, In: Expert Systems with Applications. 37, 12, p. 8359-8364 6 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2009
Published
A new approach based on artificial neural networks for high order multivariate fuzzy time series
Egrioglu, E., Aladag, C. H., Yolcu, U., Uslu, V. R. & Basaran, M. A., 1/09/2009, In: Expert Systems with Applications. 36, 7, p. 10589-10594 6 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Forecasting nonlinear time series with a hybrid methodology
Aladag, C. H., Egrioglu, E. & Kadilar, C., 1/09/2009, In: Applied Mathematics Letters. 22, 9, p. 1467-1470 4 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model
Egrioglu, E., Aladag, C. H., Yolcu, U., Basaran, M. A. & Uslu, V. R., 1/05/2009, In: Expert Systems with Applications. 36, 4, p. 7424-7434 11 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new approach for determining the length of intervals for fuzzy time series
Yolcu, U., Egrioglu, E., Uslu, V. R., Basaran, M. A. & Aladag, C. H., 1/03/2009, In: Applied Soft Computing Journal. 9, 2, p. 647-651 5 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new approach based on artificial neural networks for high order bivariate fuzzy time series
Egrioglu, E., Uslu, V. R., Yolcu, U., Basaran, M. A. & Hakan, A. C., 1/01/2009, Applications of Soft Computing: From Theory to Praxis. Springer-Verlag, p. 265-273 9 p. (Advances in Intelligent and Soft Computing; vol. 58).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Published
Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations
Aladag, C. H., Basaran, M. A., Egrioglu, E., Yolcu, U. & Uslu, V. R., 1/01/2009, In: Expert Systems with Applications. 36, 3 PART 1, p. 4228-4231 4 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
2008
Published
A new architecture selection strategy in solving seasonal autoregressive time series by artificial neural networks
Aladag, C. H., Egrioglu, E. & Gunay, S., 1/12/2008, In: Hacettepe Journal of Mathematics and Statistics. 37, 2, p. 185-200 16 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
A new model selection strategy in artificial neural networks
Eǧrioǧlu, E., Aladaǧ, Ç. H. & Günay, S., 1/02/2008, In: Applied Mathematics and Computation. 195, 2, p. 591-597 7 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Professor Erol Egrioglu

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