Yayınlar & Eserler

Yayın Ağı
Makaleler 53
Tümü (53)
SCI-E, SSCI, AHCI (45)
SCI-E, SSCI, AHCI, ESCI (49)
ESCI (3)
Scopus (53)
TRDizin (5)

1. Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm

GÖKÇEOĞLU C., Bal C., ALADAĞ Ç. H.
Geotechnical and Geological Engineering , cilt.41, sa.7, ss.4205-4231, 2023 (ESCI, Scopus) identifier identifier

2. 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 , cilt.10, sa.1, 2023 (Scopus) Creative Commons License identifier identifier

3. 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 , cilt.18, sa.1, ss.48-64, 2023 (ESCI, Scopus) identifier identifier

4. Statistical determination of significant particle swarm optimization parameters: the case of Weibull distribution

Alptekin B., Acitas S., ŞENOĞLU B., ALADAĞ Ç. H.
SOFT COMPUTING , cilt.26, sa.22, ss.12623-12634, 2022 (SCI-Expanded, Scopus) identifier identifier

5. 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 , cilt.183, ss.116-127, 2019 (SCI-Expanded, Scopus) identifier identifier

6. Fuzzy logic-based bidding strategies in dynamic double auctions

Unal B., ALADAĞ Ç. H.
KYBERNETES , cilt.48, sa.3, ss.612-635, 2019 (SCI-Expanded, Scopus) identifier identifier

7. A Novel Stochastic Seasonal Fuzzy Time Series Forecasting Model

GÜNEY H., BAKIR M. A., ALADAĞ Ç. H.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS , cilt.20, sa.3, ss.729-740, 2018 (SCI-Expanded, Scopus) identifier identifier

8. 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 , cilt.40, ss.8750-8765, 2016 (SCI-Expanded, Scopus) identifier identifier

9. Multiplicative neuron model artificial neural network based on Gaussian activation function

GÜNDOĞDU Ö., Egrioglu E., ALADAĞ Ç. H., YOLCU U.
NEURAL COMPUTING & APPLICATIONS , cilt.27, sa.4, ss.927-935, 2016 (SCI-Expanded, Scopus) identifier identifier

10. 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 , cilt.8, sa.1, ss.2-13, 2016 (Scopus) identifier

11. Fuzzy-time-series network used to forecast linear and nonlinear time series

BAŞ E., Egrioglu E., ALADAĞ Ç. H., YOLCU U.
APPLIED INTELLIGENCE , cilt.43, sa.2, ss.343-355, 2015 (SCI-Expanded, Scopus) identifier identifier

12. 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 , cilt.41, sa.2, ss.249-258, 2015 (SCI-Expanded, Scopus) identifier identifier

13. A NEW MULTILAYER FEEDFORWARD NETWORK BASED ON TRIMMED MEAN NEURON MODEL

YOLCU U., BAŞ E., Egrioglu E., ALADAĞ Ç. H.
NEURAL NETWORK WORLD , cilt.25, sa.6, ss.587-602, 2015 (SCI-Expanded, Scopus) Creative Commons License identifier identifier

14. A novel membership value based performance measure

ALADAĞ Ç. H., TÜRKŞEN İ. B.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , cilt.28, sa.2, ss.919-928, 2015 (SCI-Expanded, Scopus) identifier identifier

15. Advanced Time Series Forecasting Methods

Egrioglu E., Khashei M., ALADAĞ Ç. H., Turksen I. B., YOLCU U.
Mathematical Problems in Engineering , cilt.2015, 2015 (SCI-Expanded, Scopus) identifier

16. Fuzzy lagged variable selection in fuzzy time series with genetic algorithms

ALADAĞ Ç. H., Yolcu U., EĞRİOĞLU E., Bas E.
APPLIED SOFT COMPUTING , cilt.22, ss.465-473, 2014 (SCI-Expanded, Scopus) identifier identifier

17. Robust multilayer neural network based on median neuron model

ALADAĞ Ç. H., EĞRİOĞLU E., YOLCU U.
NEURAL COMPUTING & APPLICATIONS , cilt.24, ss.945-956, 2014 (SCI-Expanded, Scopus) identifier identifier

18. 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 , cilt.26, sa.1, ss.295-302, 2014 (SCI-Expanded, Scopus) identifier identifier

19. Using Artificial Neural Networks in Fuzzy Time Series Analysis

Aladag C. H.
RECENT DEVELOPMENTS AND NEW DIRECTIONS IN SOFT COMPUTING , cilt.317, ss.443-451, 2014 (SCI-Expanded, Scopus) identifier identifier

20. New kind of statistical methods

ALADAĞ Ç. H.
Journal of Mathematics and Statistics , cilt.10, sa.4, ss.423-425, 2014 (Scopus) identifier

21. 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 , cilt.26, sa.6, ss.2627-2637, 2014 (SCI-Expanded, Scopus) identifier identifier

22. 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 , cilt.23, sa.2, ss.333-339, 2013 (SCI-Expanded, Scopus) identifier identifier

23. A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization

ALADAĞ Ç. H., YOLCU U., EĞRİOĞLU E.
NEURAL PROCESSING LETTERS , cilt.37, sa.3, ss.251-262, 2013 (SCI-Expanded, Scopus) identifier identifier

24. 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 , cilt.83, sa.4, ss.597-610, 2013 (SCI-Expanded, Scopus) identifier identifier

25. A new linear & nonlinear artificial neural network model for time series forecasting

YOLCU U., EĞRİOĞLU E., ALADAĞ Ç. H.
DECISION SUPPORT SYSTEMS , cilt.54, sa.3, ss.1340-1347, 2013 (SCI-Expanded, Scopus) identifier identifier

26. Using multiplicative neuron model to establish fuzzy logic relationships

Aladag C. H.
EXPERT SYSTEMS WITH APPLICATIONS , cilt.40, sa.3, ss.850-853, 2013 (SCI-Expanded, Scopus) identifier identifier

27. 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 , cilt.40, sa.3, ss.854-857, 2013 (SCI-Expanded, Scopus) identifier identifier

28. 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 , cilt.2013, 2013 (SCI-Expanded, Scopus) Creative Commons License identifier identifier

29. Preface

ALADAĞ Ç. H.
Advances in Time Series Forecasting , 2012 (Scopus) identifier

30. 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 , cilt.12, sa.10, ss.3291-3299, 2012 (SCI-Expanded, Scopus) identifier identifier

31. A NOVEL SEASONAL FUZZY TIME SERIES METHOD

ALPASLAN F., Cagcag O., Aladag Ç. H., Yolcu U., Egrioglu E.
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS , cilt.41, sa.3, ss.375-385, 2012 (SCI-Expanded, Scopus, TRDizin) identifier identifier

32. 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 , cilt.41, sa.3, ss.337-345, 2012 (SCI-Expanded, Scopus, TRDizin) identifier identifier

33. 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 , cilt.41, sa.3, ss.361-364, 2012 (SCI-Expanded, Scopus, TRDizin) identifier identifier

34. A tabu search meta-heuristic approach to the dual response systems problem

ALADAĞ Ç. H., Koeksoy O.
EXPERT SYSTEMS WITH APPLICATIONS , cilt.38, sa.12, ss.15370-15376, 2011 (SCI-Expanded, Scopus) identifier identifier

35. 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 , cilt.38, sa.8, ss.10355-10357, 2011 (SCI-Expanded, Scopus) identifier identifier

36. A new architecture selection method based on tabu search for artificial neural networks

Aladag C. H.
EXPERT SYSTEMS WITH APPLICATIONS , cilt.38, sa.4, ss.3287-3293, 2011 (SCI-Expanded, Scopus) identifier identifier

37. 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 , cilt.38, sa.3, ss.2248-2252, 2011 (SCI-Expanded, Scopus) identifier identifier

38. 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 , cilt.2011, 2011 (ESCI, Scopus) Creative Commons License identifier identifier

39. 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 , cilt.22, sa.1, ss.15-19, 2011 (SCI-Expanded, Scopus) identifier identifier

40. Forecast Combination by Using Artificial Neural Networks

ALADAĞ Ç. H., EĞRİOĞLU E., Yolcu U.
NEURAL PROCESSING LETTERS , cilt.32, sa.3, ss.269-276, 2010 (SCI-Expanded, Scopus) identifier identifier

41. 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 , cilt.81, sa.4, ss.875-882, 2010 (SCI-Expanded, Scopus) identifier identifier

42. 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 , cilt.37, sa.7, ss.5052-5055, 2010 (SCI-Expanded, Scopus) identifier identifier

43. MODELING BRAIN WAVE DATA BY USING ARTIFICIAL NEURAL NETWORKS

ALADAĞ Ç. H., EĞRİOĞLU E., KADILAR C.
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS , cilt.39, sa.1, ss.81-88, 2010 (SCI-Expanded, Scopus, TRDizin) identifier identifier

44. Improving weighted information criterion by using optimization

ALADAĞ Ç. H., EĞRİOĞLU E., GÜNAY S., Basaran M. A.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS , cilt.233, sa.10, ss.2683-2687, 2010 (SCI-Expanded, Scopus) identifier identifier

45. 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 , cilt.36, sa.10, ss.12349-12356, 2009 (SCI-Expanded, Scopus) identifier identifier

46. 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 , cilt.36, sa.7, ss.10589-10594, 2009 (SCI-Expanded, Scopus) identifier identifier

47. Forecasting nonlinear time series with a hybrid methodology

ALADAĞ Ç. H., EĞRİOĞLU E., KADILAR C.
APPLIED MATHEMATICS LETTERS , cilt.22, sa.9, ss.1467-1470, 2009 (SCI-Expanded, Scopus) identifier identifier

48. 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 , cilt.36, sa.4, ss.7424-7434, 2009 (SCI-Expanded, Scopus) identifier identifier

49. 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 , cilt.9, sa.2, ss.647-651, 2009 (SCI-Expanded, Scopus) identifier identifier

50. 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 , cilt.36, sa.3 PART 1, ss.4228-4231, 2009 (SCI-Expanded, Scopus) identifier

51. Conducting fuzzy division by using linear programming

Basaran M. A., ALADAĞ Ç. H., KADILAR C.
WSEAS Transactions on Information Science and Applications , cilt.5, sa.6, ss.923-928, 2008 (Scopus) identifier

52. A new model selection strategy in artificial neural networks

Eǧrioǧlu E., ALADAĞ Ç. H., Günay S.
Applied Mathematics and Computation , cilt.195, sa.2, ss.591-597, 2008 (SCI-Expanded, Scopus) identifier

53. 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 , cilt.37, sa.2, ss.185-200, 2008 (SCI-Expanded, Scopus, TRDizin) identifier identifier
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 6

1. 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 Ekim 2020, ss.47-61, (Tam Metin Bildiri) identifier

2. Volcanic Ash –Aircraft Encounter Damages: in Volcanological Point of View

AYDAR E., ALADAĞ Ç. H., MENTEŞ T.
European Geosciences Uniom, Viyana, Avusturya, 22 - 30 Nisan 2017, (Özet Bildiri)

3. Artificial Neural Network Models for Forecasting Tourist Arrivals to Barcelona

Alptekin B., ALADAĞ Ç. H.
25th International Conference on Artificial Neural Networks (ICANN), Barcelona, İspanya, 6 - 09 Eylül 2016, cilt.9886, ss.561, (Tam Metin Bildiri) identifier identifier

4. 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, Türkiye, 25 - 28 Nisan 2013, cilt.109, ss.1094-1100, (Tam Metin Bildiri) identifier

5. 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, Macaristan, 21 - 22 Kasım 2011, ss.243-246, (Tam Metin Bildiri) identifier

6. A new approximation method based on linear programming for fuzzy division

Basaran M. A., ALADAĞ Ç. H., KADILAR C.
Applied Computing Conference 2008, İstanbul, Türkiye, 27 - 30 Mayıs 2008, ss.388-389, (Tam Metin Bildiri) identifier
Metrikler

Yayın

61

Yayın (WoS)

54

Yayın (Scopus)

57

Atıf (WoS)

1034

H-İndeks (WoS)

18

Atıf (Scopus)

2095

H-İndeks (Scopus)

26

Proje

5

Tez Danışmanlığı

7

Açık Erişim

4
BM Sürdürülebilir Kalkınma Amaçları