Prof. ÇAĞDAŞ HAKAN ALADAĞ

Publication Network

Journal articles indexed in 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)

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 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)

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)

Advanced Time Series Forecasting Methods

Egrioglu E., Khashei M., ALADAĞ Ç. H., Turksen I. B., YOLCU U.

Mathematical Problems in Engineering , vol.2015, 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)

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)

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)

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 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)

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

Aladag Ç. H., Kayabasi A., Gokceoglu C.

NEURAL COMPUTING & APPLICATIONS , vol.23, no.2, pp.333-339, 2013 (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)

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)

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)

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 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 NOVEL SEASONAL FUZZY TIME SERIES METHOD

ALPASLAN F., Cagcag O., Aladag Ç. H., Yolcu U., Egrioglu E.

HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS , vol.41, no.3, pp.375-385, 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 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)

Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering

Egrioglu E., Aladag Ç. H., Yolcu U., Uslu V. R., Erilli N. A.

EXPERT SYSTEMS WITH APPLICATIONS , vol.38, no.8, pp.10355-10357, 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)

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)

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)

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)

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 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)

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)

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations

ALADAĞ Ç. H., Basaran M. A., Egrioglu E., YOLCU U., Uslu V. R.

Expert Systems with Applications , vol.36, no.3 PART 1, pp.4228-4231, 2009 (SCI-Expanded)

A new model selection strategy in artificial neural networks

Eǧrioǧlu E., ALADAĞ Ç. H., Günay S.

Applied Mathematics and Computation , vol.195, no.2, pp.591-597, 2008 (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

Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm

GÖKÇEOĞLU C., Bal C., ALADAĞ Ç. H.

Geotechnical and Geological Engineering , vol.41, no.7, pp.4205-4231, 2023 (ESCI)

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)

Artificial neural networks to predict deformation modulus of rock masses considering overburden stress

Tokgozoglu K., Aladag Ç. H., Gokceoglu C.

GEOMECHANICS AND GEOENGINEERING-AN INTERNATIONAL JOURNAL , vol.18, no.1, pp.48-64, 2023 (ESCI)

Type-1 fuzzy time series function method based on binary particle swarm optimisation

ALADAĞ Ç. H., YOLCU U., Egrioglu E., Turksen I. B.

International Journal of Data Analysis Techniques and Strategies , vol.8, no.1, pp.2-13, 2016 (Scopus)

New kind of statistical methods

ALADAĞ Ç. H.

Journal of Mathematics and Statistics , vol.10, no.4, pp.423-425, 2014 (Scopus)

Preface

ALADAĞ Ç. H.

Advances in Time Series Forecasting , 2012 (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)

Conducting fuzzy division by using linear programming

Basaran M. A., ALADAĞ Ç. H., KADILAR C.

WSEAS Transactions on Information Science and Applications , vol.5, no.6, pp.923-928, 2008 (Scopus)

Papers Presented at Peer-Reviewed Scientific Conferences

Improving Fuzzy Time Series Approach by Using Machine Learning

ALADAĞ Ç. H.

7th International Symposium on Chaos, Complexity and Leadership, ICCLS 2020, Virtual, Online, 29 - 31 October 2020, pp.47-61, (Full Text)

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, (Summary Text)

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, (Full Text)

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, (Full Text)

Forecasting total health expenditures with a hybrid heuristic method

ALADAĞ Ç. H., Aladag S.

12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011, Budapest, Hungary, 21 - 22 November 2011, pp.243-246, (Full Text)

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, (Full Text)

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