Ufuk Yolcu

According to our database, Ufuk Yolcu authored at least 42 papers between 2009 and 2023.

Collaborative distances:

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

2023

A robust training of dendritic neuron model neural network for time series prediction.

Ayse Yilmaz, Ufuk Yolcu

Neural Comput. Appl., May, 2023

A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series.

Ozge Cagcag Yolcu, Ufuk Yolcu

Expert Syst. Appl., April, 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

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

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

Maximum likelihood and maximum product of spacings estimations for the parameters of skew-normal distribution under doubly type II censoring using genetic algorithm.

Abdullah Yalçinkaya, Ufuk Yolcu, Birdal Senoglu

Expert Syst. Appl., 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

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

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

Maximum likelihood estimation for the parameters of skew normal distribution using genetic algorithm.

Abdullah Yalçinkaya, Birdal Senoglu, Ufuk Yolcu

Swarm Evol. Comput., 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 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

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

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

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

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