Çagdas Hakan Aladag

37 papers Journal 37

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A new intelligent model selection approach. Soft Comput. Cagatay Bal, Çagdas Hakan Aladag
2023	J	`jnl`	An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application. J. Big Data Zeynep Ilhan Taskin, S. Kasirga Yildirak, Çagdas Hakan Aladag
2022	J	`jnl`	Statistical determination of significant particle swarm optimization parameters: the case of Weibull distribution. Soft Comput. Bulent Alptekin, Sükrü Acitas, Birdal Senoglu, Çagdas Hakan Aladag
2019	J	`jnl`	A new approach for estimating the parameters of Weibull distribution via particle swarm optimization: An application to the strengths of glass fibre data. Reliab. Eng. Syst. Saf. Sükrü Acitas, Çagdas Hakan Aladag, Birdal Senoglu
2019	J	`jnl`	Fuzzy logic-based bidding strategies in dynamic double auctions. Kybernetes Baki Unal, Çagdas Hakan Aladag
2018	J	`jnl`	A Novel Stochastic Seasonal Fuzzy Time Series Forecasting Model. Int. J. Fuzzy Syst. Hilal Guney, Mehmet Akif Bakir, Çagdas Hakan Aladag
2016	J	`jnl`	Multiplicative neuron model artificial neural network based on Gaussian activation function. Neural Comput. Appl. Ozge Gundogdu, Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu
2016	J	`jnl`	Type-1 fuzzy time series function method based on binary particle swarm optimisation. Int. J. Data Anal. Tech. Strateg. Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Ismail Burhan Türksen
2015	J	`jnl`	A novel membership value based performance measure. J. Intell. Fuzzy Syst. Çagdas Hakan Aladag, I. Burhan Türksen
2015	J	`jnl`	Fuzzy-time-series network used to forecast linear and nonlinear time series. Appl. Intell. Eren Bas, Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu
2015	J	`jnl`	Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting. Neural Process. Lett. Erol Egrioglu, Ufuk Yolcu, Çagdas Hakan Aladag, Eren Bas
2014	J	`jnl`	A high order seasonal fuzzy time series model and application to international tourism demand of Turkey. J. Intell. Fuzzy Syst. Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu, Vedide R. Uslu
2014	J	`jnl`	An enhanced fuzzy time series forecasting method based on artificial bee colony. J. Intell. Fuzzy Syst. Ufuk Yolcu, Ozge Cagcag, Çagdas Hakan Aladag, Erol Egrioglu
2014	J	`jnl`	Fuzzy lagged variable selection in fuzzy time series with genetic algorithms. Appl. Soft Comput. Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Eren Bas
2014	J	`jnl`	Robust multilayer neural network based on median neuron model. Neural Comput. Appl. Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu
2013	J	`jnl`	A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization. Neural Process. Lett. Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu
2013	J	`jnl`	A new linear & nonlinear artificial neural network model for time series forecasting. Decis. Support Syst. Ufuk Yolcu, Erol Egrioglu, Çagdas Hakan Aladag
2013	J	`jnl`	Estimation of pressuremeter modulus and limit pressure of clayey soils by various artificial neural network models. Neural Comput. Appl. Çagdas Hakan Aladag, A. Kayabasi, Candan Gokceoglu
2013	J	`jnl`	Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks. Expert Syst. Appl. Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu
2013	J	`jnl`	Using multiplicative neuron model to establish fuzzy logic relationships. Expert Syst. Appl. Çagdas Hakan Aladag
2012	J	`jnl`	A new time invariant fuzzy time series forecasting method based on particle swarm optimization. Appl. Soft Comput. Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Ali Zafer Dalar
2011	J	`jnl`	A new approach based on the optimization of the length of intervals in fuzzy time series. J. Intell. Fuzzy Syst. Erol Egrioglu, Çagdas Hakan Aladag, Murat Alper Basaran, Ufuk Yolcu, Vedide R. Uslu
2011	J	`jnl`	A new architecture selection method based on tabu search for artificial neural networks. Expert Syst. Appl. Çagdas Hakan Aladag
2011	J	`jnl`	A tabu search meta-heuristic approach to the dual response systems problem. Expert Syst. Appl. Çagdas Hakan Aladag, Onur Köksoy
2011	J	`jnl`	Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks. Expert Syst. Appl. N. Alp Erilli, Ufuk Yolcu, Erol Egrioglu, Çagdas Hakan Aladag, Yüksel Öner
2011	J	`jnl`	Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. Expert Syst. Appl. Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, N. Alp Erilli
2010	J	`jnl`	A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks. Math. Comput. Simul. Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu
2010	J	`jnl`	Finding an optimal interval length in high order fuzzy time series. Expert Syst. Appl. Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, Murat Alper Basaran
2010	J	`jnl`	Forecast Combination by Using Artificial Neural Networks. Neural Process. Lett. Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu
2010	J	`jnl`	Improving weighted information criterion by using optimization. J. Comput. Appl. Math. Çagdas Hakan Aladag, Erol Egrioglu, Süleyman Günay, Murat Alper Basaran
2009	J	`jnl`	A new approach based on artificial neural networks for high order multivariate fuzzy time series. Expert Syst. Appl. Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Vedide R. Uslu, Murat Alper Basaran
2009	J	`jnl`	A new approach for determining the length of intervals for fuzzy time series. Appl. Soft Comput. Ufuk Yolcu, Erol Egrioglu, Vedide R. Uslu, Murat Alper Basaran, Çagdas Hakan Aladag
2009	J	`jnl`	A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model. Expert Syst. Appl. Erol Egrioglu, Çagdas Hakan Aladag, Ufuk Yolcu, Murat Alper Basaran, Vedide R. Uslu
2009	J	`jnl`	Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. Expert Syst. Appl. Çagdas Hakan Aladag, Murat Alper Basaran, Erol Egrioglu, Ufuk Yolcu, Vedide R. Uslu
2009	J	`jnl`	Forecasting nonlinear time series with a hybrid methodology. Appl. Math. Lett. Çagdas Hakan Aladag, Erol Egrioglu, Cem Kadilar
2009	J	`jnl`	The effect of neighborhood structures on tabu search algorithm in solving course timetabling problem. Expert Syst. Appl. Çagdas Hakan Aladag, Gulsum Hocaoglu, Murat Alper Basaran
2008	J	`jnl`	A new model selection strategy in artificial neural networks. Appl. Math. Comput. Erol Egrioglu, Çagdas Hakan Aladag, Süleyman Günay