Ufuk Yolcu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 23

Top Topics

Financial Time Series

Hypothesis Test

Intuitionistic Fuzzy

Top Venues

Neural Comput. Appl.

J. Intell. Fuzzy Syst.

Eng. Appl. Artif. Intell.

Swarm Evol. Comput.

Publications

Ozge Cagcag Yolcu, Ufuk Yolcu
A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM. Inf. Sci. 679 (2024)
Ayse Yilmaz, Ufuk Yolcu
A robust training of dendritic neuron model neural network for time series prediction. Neural Comput. Appl. 35 (14) (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)
Ozge Cagcag Yolcu, Ufuk Yolcu
A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series. Expert Syst. Appl. 215 (2023)
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)
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)
Abdullah Yalçinkaya, Ufuk Yolcu, Birdal Senoglu
Maximum likelihood and maximum product of spacings estimations for the parameters of skew-normal distribution under doubly type II censoring using genetic algorithm. Expert Syst. Appl. 168 (2021)
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)
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)
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)
Abdullah Yalçinkaya, Birdal Senoglu, Ufuk Yolcu
Maximum likelihood estimation for the parameters of skew normal distribution using genetic algorithm. Swarm Evol. Comput. 38 (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)
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, 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)
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)
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)
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)