Çagdas Hakan Aladag

According to our database, Çagdas Hakan Aladag authored at least 36 papers between 2008 and 2023.

Collaborative distances:

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

2023

An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application.

Zeynep Ilhan Taskin, S. Kasirga Yildirak, Çagdas Hakan Aladag

J. Big Data, 2023

2022

Statistical determination of significant particle swarm optimization parameters: the case of Weibull distribution.

Bulent Alptekin, Sükrü Acitas, Birdal Senoglu, Çagdas Hakan Aladag

Soft Comput., 2022

2019

A new approach for estimating the parameters of Weibull distribution via particle swarm optimization: An application to the strengths of glass fibre data.

Sükrü Acitas, Çagdas Hakan Aladag, Birdal Senoglu

Reliab. Eng. Syst. Saf., 2019

Fuzzy logic-based bidding strategies in dynamic double auctions.

Baki Unal, Çagdas Hakan Aladag

Kybernetes, 2019

2018

A Novel Stochastic Seasonal Fuzzy Time Series Forecasting Model.

Hilal Guney, Mehmet Akif Bakir, Çagdas Hakan Aladag

Int. J. Fuzzy Syst., 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

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

A novel membership value based performance measure.

Çagdas Hakan Aladag, I. Burhan Türksen

J. Intell. Fuzzy Syst., 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

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

2013

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

Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu

Neural Process. Lett., 2013

Estimation of pressuremeter modulus and limit pressure of clayey soils by various artificial neural network models.

Çagdas Hakan Aladag, A. Kayabasi, Candan Gokceoglu

Neural Comput. Appl., 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

Using multiplicative neuron model to establish fuzzy logic relationships.

Çagdas Hakan Aladag

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

A tabu search meta-heuristic approach to the dual response systems problem.

Çagdas Hakan Aladag, Onur Köksoy

Expert Syst. Appl., 2011

A new architecture selection method based on tabu search for artificial neural networks.

Çagdas Hakan Aladag

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

Improving weighted information criterion by using optimization.

Çagdas Hakan Aladag, Erol Egrioglu, Süleyman Günay, Murat Alper Basaran

J. Comput. Appl. Math., 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

The effect of neighborhood structures on tabu search algorithm in solving course timetabling problem.

Çagdas Hakan Aladag, Gulsum Hocaoglu, Murat Alper Basaran

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

Forecasting nonlinear time series with a hybrid methodology.

Çagdas Hakan Aladag, Erol Egrioglu, Cem Kadilar

Appl. Math. Lett., 2009

2008

A new model selection strategy in artificial neural networks.

Erol Egrioglu, Çagdas Hakan Aladag, Süleyman Günay

Appl. Math. Comput., 2008