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ORCIDÇagdas Hakan Aladag
Person information
- affiliation: Hacettepe University, Department of Statistics, Ankara, Turkey
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2020 – today
- 2023
[j36]Zeynep Ilhan Taskin
, S. Kasirga Yildirak, Çagdas Hakan Aladag:
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application. J. Big Data 10(1): 38 (2023)- 2022
- [j35]Bulent Alptekin, Sükrü Acitas, Birdal Senoglu, Çagdas Hakan Aladag:
Statistical determination of significant particle swarm optimization parameters: the case of Weibull distribution. Soft Comput. 26(22): 12623-12634 (2022)
2010 – 2019
- 2019
- [j34]Baki Unal, Çagdas Hakan Aladag:
Fuzzy logic-based bidding strategies in dynamic double auctions. Kybernetes 48(3): 612-635 (2019) - [j33]Sükrü Acitas, Çagdas Hakan Aladag, Birdal Senoglu:
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. 183: 116-127 (2019) - 2018
- [j32]Hilal Guney, Mehmet Akif Bakir, Çagdas Hakan Aladag:
A Novel Stochastic Seasonal Fuzzy Time Series Forecasting Model. Int. J. Fuzzy Syst. 20(3): 729-740 (2018) - 2016
- [j31]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): 2-13 (2016) - [j30]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): 927-935 (2016) - 2015
- [j29]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): 343-355 (2015) - [j28]Çagdas Hakan Aladag, I. Burhan Türksen:
A novel membership value based performance measure. J. Intell. Fuzzy Syst. 28(2): 919-928 (2015) - [j27]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): 249-258 (2015) - 2014
- [j26]Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu, Eren Bas:
Fuzzy lagged variable selection in fuzzy time series with genetic algorithms. Appl. Soft Comput. 22: 465-473 (2014) - [j25]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): 295-302 (2014) - [j24]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): 2627-2637 (2014) - [j23]Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu:
Robust multilayer neural network based on median neuron model. Neural Comput. Appl. 24(3-4): 945-956 (2014) - 2013
- [j22]Ufuk Yolcu, Erol Egrioglu, Çagdas Hakan Aladag:
A new linear & nonlinear artificial neural network model for time series forecasting. Decis. Support Syst. 54(3): 1340-1347 (2013) - [j21]Çagdas Hakan Aladag:
Using multiplicative neuron model to establish fuzzy logic relationships. Expert Syst. Appl. 40(3): 850-853 (2013) - [j20]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): 854-857 (2013) - [j19]Çagdas Hakan Aladag, A. Kayabasi, Candan Gokceoglu:
Estimation of pressuremeter modulus and limit pressure of clayey soils by various artificial neural network models. Neural Comput. Appl. 23(2): 333-339 (2013) - [j18]Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu:
A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization. Neural Process. Lett. 37(3): 251-262 (2013) - 2012
- [j17]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): 3291-3299 (2012) - 2011
- [j16]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): 2248-2252 (2011) - [j15]Çagdas Hakan Aladag:
A new architecture selection method based on tabu search for artificial neural networks. Expert Syst. Appl. 38(4): 3287-3293 (2011) - [j14]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): 10355-10357 (2011) - [j13]Çagdas Hakan Aladag, Onur Köksoy:
A tabu search meta-heuristic approach to the dual response systems problem. Expert Syst. Appl. 38(12): 15370-15376 (2011) - [j12]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): 15-19 (2011) - 2010
- [j11]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): 5052-5055 (2010) - [j10]Çagdas Hakan Aladag, Erol Egrioglu, Süleyman Günay, Murat Alper Basaran:
Improving weighted information criterion by using optimization. J. Comput. Appl. Math. 233(10): 2683-2687 (2010) - [j9]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): 875-882 (2010) - [j8]Çagdas Hakan Aladag, Erol Egrioglu, Ufuk Yolcu:
Forecast Combination by Using Artificial Neural Networks. Neural Process. Lett. 32(3): 269-276 (2010)
2000 – 2009
- 2009
- [j7]Çagdas Hakan Aladag, Erol Egrioglu, Cem Kadilar:
Forecasting nonlinear time series with a hybrid methodology. Appl. Math. Lett. 22(9): 1467-1470 (2009) - [j6]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): 647-651 (2009) - [j5]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): 4228-4231 (2009) - [j4]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): 7424-7434 (2009) - [j3]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): 10589-10594 (2009) - [j2]Çagdas Hakan Aladag, Gulsum Hocaoglu, Murat Alper Basaran:
The effect of neighborhood structures on tabu search algorithm in solving course timetabling problem. Expert Syst. Appl. 36(10): 12349-12356 (2009) - 2008
- [j1]Erol Egrioglu, Çagdas Hakan Aladag, Süleyman Günay:
A new model selection strategy in artificial neural networks. Appl. Math. Comput. 195(2): 591-597 (2008)
Coauthor Index
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