Assoc. Prof. ÇAĞDAŞ HAKAN ALADAĞ
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Hacettepe University
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Published journal articles indexed by SCI, SSCI, and AHCI
Statistical determination of significant particle swarm optimization parameters: the case of Weibull distribution
Alptekin B.
,
Acitas S.
,
ŞENOĞLU B.
,
ALADAĞ Ç. H.
SOFT COMPUTING
, vol.26, no.22, pp.12623-12634, 2022 (SCI-Expanded)
A new approach for estimating the parameters of Weibull distribution via particle swarm optimization: An application to the strengths of glass fibre Cheek tor data
ACITAŞ Ş.
,
ALADAĞ Ç. H.
,
ŞENOĞLU B.
RELIABILITY ENGINEERING & SYSTEM SAFETY
, vol.183, pp.116-127, 2019 (SCI-Expanded)
Fuzzy logic-based bidding strategies in dynamic double auctions
Unal B.
,
ALADAĞ Ç. H.
KYBERNETES
, vol.48, no.3, pp.612-635, 2019 (SCI-Expanded)
A Novel Stochastic Seasonal Fuzzy Time Series Forecasting Model
GÜNEY H.
,
BAKIR M. A.
,
ALADAĞ Ç. H.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
, vol.20, no.3, pp.729-740, 2018 (SCI-Expanded)
High order fuzzy time series forecasting method based on an intersection operation
Yolcu O. C.
,
YOLCU U.
,
EĞRİOĞLU E.
,
ALADAĞ Ç. H.
APPLIED MATHEMATICAL MODELLING
, vol.40, pp.8750-8765, 2016 (SCI-Expanded)
Multiplicative neuron model artificial neural network based on Gaussian activation function
GÜNDOĞDU Ö.
,
Egrioglu E.
,
ALADAĞ Ç. H.
,
YOLCU U.
NEURAL COMPUTING & APPLICATIONS
, vol.27, no.4, pp.927-935, 2016 (SCI-Expanded)
Fuzzy-time-series network used to forecast linear and nonlinear time series
BAŞ E.
,
Egrioglu E.
,
ALADAĞ Ç. H.
,
YOLCU U.
APPLIED INTELLIGENCE
, vol.43, no.2, pp.343-355, 2015 (SCI-Expanded)
Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting
EĞRİOĞLU E.
,
YOLCU U.
,
ALADAĞ Ç. H.
,
BAŞ E.
NEURAL PROCESSING LETTERS
, vol.41, no.2, pp.249-258, 2015 (SCI-Expanded)
A NEW MULTILAYER FEEDFORWARD NETWORK BASED ON TRIMMED MEAN NEURON MODEL
YOLCU U.
,
BAŞ E.
,
Egrioglu E.
,
ALADAĞ Ç. H.
NEURAL NETWORK WORLD
, vol.25, no.6, pp.587-602, 2015 (SCI-Expanded)
A novel membership value based performance measure
ALADAĞ Ç. H.
,
TÜRKŞEN İ. B.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
, vol.28, no.2, pp.919-928, 2015 (SCI-Expanded)
Fuzzy lagged variable selection in fuzzy time series with genetic algorithms
ALADAĞ Ç. H.
,
Yolcu U.
,
EĞRİOĞLU E.
,
Bas E.
APPLIED SOFT COMPUTING
, vol.22, pp.465-473, 2014 (SCI-Expanded)
Robust multilayer neural network based on median neuron model
ALADAĞ Ç. H.
,
EĞRİOĞLU E.
,
YOLCU U.
NEURAL COMPUTING & APPLICATIONS
, vol.24, pp.945-956, 2014 (SCI-Expanded)
A high order seasonal fuzzy time series model and application to international tourism demand of Turkey
ALADAĞ Ç. H.
,
EĞRİOĞLU E.
,
Yolcu U.
,
USLU V. R.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
, vol.26, no.1, pp.295-302, 2014 (SCI-Expanded)
An enhanced fuzzy time series forecasting method based on artificial bee colony
YOLCU U.
,
Cagcag O.
,
ALADAĞ Ç. H.
,
EĞRİOĞLU E.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
, vol.26, no.6, pp.2627-2637, 2014 (SCI-Expanded)
Using Artificial Neural Networks in Fuzzy Time Series Analysis
Aladag C. H.
RECENT DEVELOPMENTS AND NEW DIRECTIONS IN SOFT COMPUTING
, vol.317, pp.443-451, 2014 (SCI-Expanded)
A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization
ALADAĞ Ç. H.
,
YOLCU U.
,
EĞRİOĞLU E.
NEURAL PROCESSING LETTERS
, vol.37, no.3, pp.251-262, 2013 (SCI-Expanded)
Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market
Yolcu U.
,
ALADAĞ Ç. H.
,
EĞRİOĞLU E.
,
USLU V. R.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
, vol.83, no.4, pp.597-610, 2013 (SCI-Expanded)
A new linear & nonlinear artificial neural network model for time series forecasting
YOLCU U.
,
EĞRİOĞLU E.
,
ALADAĞ Ç. H.
DECISION SUPPORT SYSTEMS
, vol.54, no.3, pp.1340-1347, 2013 (SCI-Expanded)
Using multiplicative neuron model to establish fuzzy logic relationships
Aladag C. H.
EXPERT SYSTEMS WITH APPLICATIONS
, vol.40, no.3, pp.850-853, 2013 (SCI-Expanded)
Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks
EĞRİOĞLU E.
,
ALADAĞ Ç. H.
,
YOLCU U.
EXPERT SYSTEMS WITH APPLICATIONS
, vol.40, no.3, pp.854-857, 2013 (SCI-Expanded)
An ARMA Type Fuzzy Time Series Forecasting Method Based on Particle Swarm Optimization
EĞRİOĞLU E.
,
YOLCU U.
,
ALADAĞ Ç. H.
,
KOÇAK C.
MATHEMATICAL PROBLEMS IN ENGINEERING
, vol.2013, 2013 (SCI-Expanded)
A new time invariant fuzzy time series forecasting method based on particle swarm optimization
ALADAĞ Ç. H.
,
YOLCU U.
,
EĞRİOĞLU E.
,
Dalar A. Z.
APPLIED SOFT COMPUTING
, vol.12, no.10, pp.3291-3299, 2012 (SCI-Expanded)
A SIMULATION BASED APPROACH TO CALCULATE THE FUZZY CORRELATION COEFFICIENT OF FUZZY OBSERVATIONS
ALADAĞ Ç. H.
,
EĞRİOĞLU E.
,
YOLCU U.
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
, vol.41, no.3, pp.361-364, 2012 (SCI-Expanded)
A NEW SEASONAL FUZZY TIME SERIES METHOD BASED ON THE MULTIPLICATIVE NEURON MODEL AND SARIMA
Aladag S.
,
ALADAĞ Ç. H.
,
MENTEŞ T.
,
EĞRİOĞLU E.
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
, vol.41, no.3, pp.337-345, 2012 (SCI-Expanded)
A tabu search meta-heuristic approach to the dual response systems problem
ALADAĞ Ç. H.
,
Koeksoy O.
EXPERT SYSTEMS WITH APPLICATIONS
, vol.38, no.12, pp.15370-15376, 2011 (SCI-Expanded)
A new architecture selection method based on tabu search for artificial neural networks
Aladag C. H.
EXPERT SYSTEMS WITH APPLICATIONS
, vol.38, no.4, pp.3287-3293, 2011 (SCI-Expanded)
Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks
Erilli N. A.
,
Yolcu U.
,
EĞRİOĞLU E.
,
ALADAĞ Ç. H.
,
ÖNER Y.
EXPERT SYSTEMS WITH APPLICATIONS
, vol.38, no.3, pp.2248-2252, 2011 (SCI-Expanded)
A new approach based on the optimization of the length of intervals in fuzzy time series
EĞRİOĞLU E.
,
ALADAĞ Ç. H.
,
Basaran M. A.
,
Yolcu U.
,
USLU V. R.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
, vol.22, no.1, pp.15-19, 2011 (SCI-Expanded)
Forecast Combination by Using Artificial Neural Networks
ALADAĞ Ç. H.
,
EĞRİOĞLU E.
,
Yolcu U.
NEURAL PROCESSING LETTERS
, vol.32, no.3, pp.269-276, 2010 (SCI-Expanded)
A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks
ALADAĞ Ç. H.
,
Yolcu U.
,
EĞRİOĞLU E.
MATHEMATICS AND COMPUTERS IN SIMULATION
, vol.81, no.4, pp.875-882, 2010 (SCI-Expanded)
Finding an optimal interval length in high order fuzzy time series
EĞRİOĞLU E.
,
ALADAĞ Ç. H.
,
Yolcu U.
,
USLU V. R.
,
Basaran M. A.
EXPERT SYSTEMS WITH APPLICATIONS
, vol.37, no.7, pp.5052-5055, 2010 (SCI-Expanded)
Improving weighted information criterion by using optimization
ALADAĞ Ç. H.
,
EĞRİOĞLU E.
,
GÜNAY S.
,
Basaran M. A.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
, vol.233, no.10, pp.2683-2687, 2010 (SCI-Expanded)
MODELING BRAIN WAVE DATA BY USING ARTIFICIAL NEURAL NETWORKS
ALADAĞ Ç. H.
,
EĞRİOĞLU E.
,
KADILAR C.
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
, vol.39, no.1, pp.81-88, 2010 (SCI-Expanded)
The effect of neighborhood structures on tabu search algorithm in solving course timetabling problem
ALADAĞ Ç. H.
,
Hocaoglu G.
,
Basaran M. A.
EXPERT SYSTEMS WITH APPLICATIONS
, vol.36, no.10, pp.12349-12356, 2009 (SCI-Expanded)
A new approach based on artificial neural networks for high order multivariate fuzzy time series
EĞRİOĞLU E.
,
ALADAĞ Ç. H.
,
Yolcu U.
,
USLU V. R.
,
Basaran M. A.
EXPERT SYSTEMS WITH APPLICATIONS
, vol.36, no.7, pp.10589-10594, 2009 (SCI-Expanded)
Forecasting nonlinear time series with a hybrid methodology
ALADAĞ Ç. H.
,
EĞRİOĞLU E.
,
KADILAR C.
APPLIED MATHEMATICS LETTERS
, vol.22, no.9, pp.1467-1470, 2009 (SCI-Expanded)
A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model
EĞRİOĞLU E.
,
ALADAĞ Ç. H.
,
Yolcu U.
,
Basaran M. A.
,
USLU V. R.
EXPERT SYSTEMS WITH APPLICATIONS
, vol.36, no.4, pp.7424-7434, 2009 (SCI-Expanded)
A new approach for determining the length of intervals for fuzzy time series
Yolcu U.
,
EĞRİOĞLU E.
,
USLU V. R.
,
Basaran M. A.
,
ALADAĞ Ç. H.
APPLIED SOFT COMPUTING
, vol.9, no.2, pp.647-651, 2009 (SCI-Expanded)
A NEW ARCHITECTURE SELECTION STRATEGY IN SOLVING SEASONAL AUTOREGRESSIVE TIME SERIES BY ARTIFICIAL NEURAL NETWORKS
ALADAĞ Ç. H.
,
EĞRİOĞLU E.
,
GÜNAY S.
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
, vol.37, no.2, pp.185-200, 2008 (SCI-Expanded)
Articles Published in Other Journals
An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application
İLHAN TAŞKIN Z.
,
YILDIRAK Ş. K.
,
ALADAĞ Ç. H.
JOURNAL OF BIG DATA
, vol.10, no.1, 2023 (Scopus)
The CSS and The Two-Staged Methods for Parameter Estimation in SARFIMA Models
EĞRİOĞLU E.
,
ALADAĞ Ç. H.
,
KADILAR C.
JOURNAL OF PROBABILITY AND STATISTICS
, vol.2011, 2011 (ESCI)
Refereed Congress / Symposium Publications in Proceedings
Volcanic Ash –Aircraft Encounter Damages: in Volcanological Point of View
AYDAR E.
,
ALADAĞ Ç. H.
,
MENTEŞ T.
European Geosciences Uniom, Viyana, Austria, 22 - 30 April 2017
Artificial Neural Network Models for Forecasting Tourist Arrivals to Barcelona
Alptekin B.
,
ALADAĞ Ç. H.
25th International Conference on Artificial Neural Networks (ICANN), Barcelona, Spain, 6 - 09 September 2016, vol.9886, pp.561
Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-Linear Time Series Forecasting
EĞRİOĞLU E.
,
YOLCU U.
,
ALADAĞ Ç. H.
,
BAŞ E.
2nd World Conference on Business, Economics and Management (BEM), Antalya, Turkey, 25 - 28 April 2013, vol.109, pp.1094-1100
A new approximation method based on linear programming for fuzzy division
Basaran M. A.
,
ALADAĞ Ç. H.
,
KADILAR C.
Applied Computing Conference 2008, İstanbul, Turkey, 27 - 30 May 2008, pp.388-389