A new model selection strategy in artificial neural networks. - Erol Egrioglu; Çagdas Hakan Aladag; Süleyman Günay (Appl. Math. Comput., 2008)

Forecasting nonlinear time series with a hybrid methodology. - Çagdas Hakan Aladag; Erol Egrioglu; Cem Kadilar (Appl. Math. Lett., 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 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)

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)

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)

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)

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)

Improving weighted information criterion by using optimization. - Çagdas Hakan Aladag; Erol Egrioglu; Süleyman Günay; Murat Alper Basaran (J. Comput. Appl. Math., 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)

Forecast Combination by Using Artificial Neural Networks. - Çagdas Hakan Aladag; Erol Egrioglu; Ufuk Yolcu (Neural Process. Lett., 2010)

A new architecture selection method based on tabu search for artificial neural networks. - Çagdas Hakan Aladag (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)

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)

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)

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)

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)

A new linear & nonlinear artificial neural network model for time series forecasting. - Ufuk Yolcu; Erol Egrioglu; Çagdas Hakan Aladag (Decis. Support Syst., 2013)

Using multiplicative neuron model to establish fuzzy logic relationships. - Çagdas Hakan Aladag (Expert Syst. 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)

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)

A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization. - Çagdas Hakan Aladag; Ufuk Yolcu; Erol Egrioglu (Neural Process. Lett., 2013)

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 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)

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)

Robust multilayer neural network based on median neuron model. - Çagdas Hakan Aladag; Erol Egrioglu; Ufuk Yolcu (Neural Comput. Appl., 2014)

Fuzzy-time-series network used to forecast linear and nonlinear time series. - Eren Bas; Erol Egrioglu; Çagdas Hakan Aladag; Ufuk Yolcu (Appl. Intell., 2015)

A novel membership value based performance measure. - Çagdas Hakan Aladag; I. Burhan Türksen (J. Intell. Fuzzy Syst., 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)

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)

Multiplicative neuron model artificial neural network based on Gaussian activation function. - Ozge Gundogdu; Erol Egrioglu; Çagdas Hakan Aladag; Ufuk Yolcu (Neural Comput. Appl., 2016)

A Novel Stochastic Seasonal Fuzzy Time Series Forecasting Model. - Hilal Guney; Mehmet Akif Bakir; Çagdas Hakan Aladag (Int. J. Fuzzy Syst., 2018)

Fuzzy logic-based bidding strategies in dynamic double auctions. - Baki Unal; Çagdas Hakan Aladag (Kybernetes, 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)

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)

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)