Prof. UFUK YOLCU

Publication Network

Articles 67

1. Short-term load forecasting: cascade intuitionistic fuzzy time series—univariate and bivariate models

CAĞCAĞ YOLCU Ö., Lam H., YOLCU U.

Neural Computing and Applications , vol.36, no.32, pp.20167-20192, 2024 (SCI-Expanded)

2. A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM

CAĞCAĞ YOLCU Ö., YOLCU U.

Information Sciences , vol.679, 2024 (SCI-Expanded, Scopus)

3. Modeling the effects of essential heavy metals on environmental pollution: A linear and nonlinear prediction model via cascade forward-neural network

YOLCU U., Yalcin I. E., Uras M. E., ÖZYİĞİT İ. İ.

Mathematical Methods in the Applied Sciences , vol.47, no.6, pp.4306-4318, 2024 (SCI-Expanded, Scopus) Sustainable Development

4. A robust training of dendritic neuron model neural network for time series prediction

Yilmaz A., YOLCU U.

Neural Computing and Applications , vol.35, no.14, pp.10387-10406, 2023 (SCI-Expanded)

5. A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series

CAĞCAĞ YOLCU Ö., YOLCU U.

Expert Systems with Applications , vol.215, 2023 (SCI-Expanded)

6. Evaluation of the nutritional value of bee pollen by palynological, antioxidant, antimicrobial, and elemental characteristics

Cobanoglu D. N., TEMİZER İ. K., Candan E. D., YOLCU U., Guder A.

EUROPEAN FOOD RESEARCH AND TECHNOLOGY , vol.249, no.2, pp.307-325, 2023 (SCI-Expanded)

7. Antioxidant properties, element contents and antimicrobial activities of bee pollen collected by Apis mellifera L. in Türkiye

Kizilpinar-Temizer I., Guder A., Candan E. D., YOLCU U.

Spanish Journal of Agricultural Research , vol.20, no.4, 2022 (SCI-Expanded) Sustainable Development

8. Dendritic neuron model neural network trained by modified particle swarm optimization for time-series forecasting

Yilmaz A., Yolcu U.

JOURNAL OF FORECASTING , vol.41, no.4, pp.793-809, 2022 (SSCI)

9. Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan

CAĞCAĞ YOLCU Ö., EĞRİOĞLU E., BAŞ E., YOLCU U.

APPLIED SOFT COMPUTING , vol.116, 2022 (SCI-Expanded)

10. Bootstrapped Holt Method with Autoregressive Coefficients Based on Harmony Search Algorithm

BAŞ E., EĞRİOĞLU E., YOLCU U.

Forecasting , vol.3, no.4, pp.839-849, 2021 (ESCI)

11. Intuitionistic fuzzy time series functions approach for time series forecasting

Bas E., Yolcu U., Egrioglu E.

GRANULAR COMPUTING , vol.6, no.3, pp.619-629, 2021 (ESCI)

12. Türkiye\u2019deki Turizm Gelirlerinin Dış Ticaret Dengesi Üzerindeki Etkisi: Farklı Yapay Sinir Ağları ile Elde Edilen Öngörülerin Karşılaştırılması

CİNEL E. A., YOLCU U.

Sosyal Bilimler ve Eğitim Dergisi , vol.4, no.1, pp.98-118, 2021 (Peer-Reviewed Journal)

13. AR-GE HARCAMALARI İLE EKONOMİK BÜYÜME İLİŞKİSİ: YAPAY SİNİR AĞLARI İLE TÜRKİYE GSYH ÖNGÖRÜSÜ

CİNEL E. A., YOLCU U.

Premium e-Journal of Social Science , vol.5, no.13, pp.170-181, 2021 (Peer-Reviewed Journal) Sustainable Development

14. Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network

Yolcu U., Egrioglu E., Bas E., Yolcu Ö., Dalar A. Z.

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE , vol.33, no.3, pp.383-404, 2021 (SCI-Expanded)

15. TURİZM GELİRLERİNİN DIŞ TİCARET DENGESİ ÜZERİNDEKİ ETKİLERİ: TÜRKİYE ÖRNEĞİ ÜZERİNDE YAPAY SİNİR AĞLARI İLE ÖNGÖRÜ

CİNEL E. A., YOLCU U.

Uluslararası İktisadi ve İdari İncelemeler Dergisi , vol.31, pp.247-264, 2021 (TRDizin)

16. EĞİTİM, YAŞ VE CİNSİYETİN İŞSİZLİK ORANI ÜZERİNDEKİ ETKİLERİ: TÜRKİYE ÖRNEĞİ

CİNEL E. A., YOLCU U.

Elektronik Sosyal Bilimler Dergisi , vol.20, no.78, pp.844-858, 2021 (Peer-Reviewed Journal) Sustainable Development

17. Maximum likelihood and maximum product of spacings estimations for the parameters of skew-normal distribution under doubly type II censoring using genetic algorithm

YALÇINKAYA A., Yolcu U., ŞENOĞLU B.

EXPERT SYSTEMS WITH APPLICATIONS , vol.168, 2021 (SCI-Expanded, Scopus)

18. An adaptive forecast combination approach based on meta intuitionistic fuzzy functions

Tak N., Egrioglu E., Bas E., Yolcu U.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , vol.40, no.5, pp.9567-9581, 2021 (SCI-Expanded)

19. A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction

Yolcu Ö., Bas E., Egrioglu E., Yolcu U.

SOFT COMPUTING , vol.24, no.11, pp.8211-8222, 2020 (SCI-Expanded)

20. Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm

Bas E., Yolcu U., Egrioglu E.

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS , vol.370, 2020 (SCI-Expanded)

21. A hybrid algorithm based on artificial bat and backpropagation algorithms for multiplicative neuron model artificial neural networks

Bas E., Egrioglu E., Yolcu U.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING , 2020 (SCI-Expanded)

22. Picture fuzzy time series: Defining, modeling and creating a new forecasting method

Egrioglu E., Bas E., Yolcu U., Chen M. Y.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.88, 2020 (SCI-Expanded)

23. Intuitionistic high-order fuzzy time series forecasting method based on pi-sigma artificial neural networks trained by artificial bee colony

Egrioglu E., Yolcu U., Bas E.

GRANULAR COMPUTING , vol.4, no.4, pp.639-654, 2019 (ESCI)

24. Type 1 fuzzy function approach based on ridge regression for forecasting

Bas E., Egrioglu E., Yolcu U., Grosan C.

GRANULAR COMPUTING , vol.4, no.4, pp.629-637, 2019 (ESCI)

25. Intuitionistic time series fuzzy inference system

Egrioglu E., Bas E., Yolcu Ö., Yolcu U.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.82, pp.175-183, 2019 (SCI-Expanded)

26. Median-Pi artificial neural network for forecasting

Egrioglu E., Yolcu U., Bas E., Dalar A. Z.

NEURAL COMPUTING & APPLICATIONS , vol.31, no.1, pp.307-316, 2019 (SCI-Expanded)

27. Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling

Yolcu Ö., Bas E., Egrioglu E., Yolcu U.

NEURAL PROCESSING LETTERS , vol.47, no.3, pp.1133-1147, 2018 (SCI-Expanded)

28. High order fuzzy time series method based on pi-sigma neural network

Bas E., Grosan C., Egrioglu E., Yolcu U.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.72, pp.350-356, 2018 (SCI-Expanded)

29. Maximum likelihood estimation for the parameters of skew normal distribution using genetic algorithm

YALÇINKAYA A., ŞENOĞLU B., Yolcu U.

SWARM AND EVOLUTIONARY COMPUTATION , vol.38, pp.127-138, 2018 (SCI-Expanded)

30. A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap

Yolcu U., Bas E., Egrioglu E.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , vol.35, no.2, pp.2349-2358, 2018 (SCI-Expanded)

31. The Forecasting Of Labour Force Participation And The Unemployment Rate In Poland And Turkey Using Fuzzy Time Series Methods

YOLCU U., Bas E.

COMPARATIVE ECONOMIC RESEARCH-CENTRAL AND EASTERN EUROPE , vol.19, no.2, pp.5-25, 2016 (ESCI) Sustainable Development

32. A NEW APPROACH BASED ON OPTIMIZATION OF RATIO FOR SEASONAL FUZZY TIME SERIES

YOLCU U.

IRANIAN JOURNAL OF FUZZY SYSTEMS , vol.13, no.2, pp.19-36, 2016 (SCI-Expanded)

33. Probabilistic Fuzzy Time Series Method Based on Artificial Neural Network

EĞRİOĞLU E., BAŞ E., ALADAĞ Ç. H., YOLCU U.

American Journal of Intelligent Systems , vol.6, no.2, pp.42-47, 2016 (Peer-Reviewed Journal)

34. Single Multiplicative Neuron Model Artificial Neuron Network Trained by Bat Algorithm for Time Series Forecasting

BAŞ E., YOLCU U., EĞRİOĞLU E., CAĞCAĞ YOLCU Ö., DALAR A. Z.

American Journal of Intelligent Systems , vol.6, no.3, pp.74-77, 2016 (Peer-Reviewed Journal)

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

ALADAĞ Ç. H., YOLCU U., EĞRİOĞLU E., TÜRKŞEN İ. B.

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

36. Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting

Egrioglu E., YOLCU U., ALADAĞ Ç. H., Bas E.

NEURAL PROCESSING LETTERS , vol.41, no.2, pp.249-258, 2015 (SCI-Expanded)

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

ALADAĞ Ç. H., Yolcu U., Egrioglu E., Bas E.

APPLIED SOFT COMPUTING , vol.22, pp.465-473, 2014 (SCI-Expanded)

38. A modified genetic algorithm for forecasting fuzzy time series

Bas E., Uslu V. R., YOLCU U., Egrioglu E.

APPLIED INTELLIGENCE , vol.41, no.2, pp.453-463, 2014 (SCI-Expanded)

39. A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations

Uslu V. R., Bas E., Yolcu U., Egrioglu E.

SWARM AND EVOLUTIONARY COMPUTATION , vol.15, pp.19-26, 2014 (SCI-Expanded)

40. Robust multilayer neural network based on median neuron model

ALADAĞ Ç. H., Egrioglu E., Yolcu U.

NEURAL COMPUTING & APPLICATIONS , vol.24, no.3-4, pp.945-956, 2014 (SCI-Expanded)

41. A New Adaptive Network Based Fuzzy Inference System for Time Series Forecasting

DALAR A. Z., EĞRİOĞLU E., YOLCU U., İLTER D., GÜNDOĞDU Ö.

Aloy Journalof Soft Computingand Applications , vol.2, no.1, pp.25-32, 2014 (Peer-Reviewed Journal)

42. Application of type 1 fuzzy functions approach for time series forecasting

CAĞCAĞ YOLCU Ö., YOLCU U., EĞRİOĞLU E.

Turkish Journal of Fuzzy Systems , vol.5, no.1, pp.1-9, 2014 (Peer-Reviewed Journal)

43. An Investigation of Differencing Effect in Multiplicative Neuron Model Artificial Neural Network for Istanbul Stock Exchange Time Series Fore

DALAR A. Z., EĞRİOĞLU E., YOLCU U., İLTER D., GÜNDOĞDU Ö.

American Journal of Intelligent Systems , vol.4, no.1, pp.15-19, 2014 (Peer-Reviewed Journal)

44. A Fuzzy Time Series Approach Using De Best 1 Mutation Strategy of Differential Evolution Algorithm

DALAR A. Z., EĞRİOĞLU E., YOLCU U., İLTER D., GÜNDOĞDU Ö.

Aloy Journalof Soft Computingand Applications , vol.2, no.2, pp.60-69, 2014 (Peer-Reviewed Journal)

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

ALADAĞ Ç. H., Yolcu U., Egrioglu E.

NEURAL PROCESSING LETTERS , vol.37, no.3, pp.251-262, 2013 (SCI-Expanded)

46. Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market

Yolcu U., ALADAĞ Ç. H., Egrioglu E., Uslu V. R.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION , vol.83, no.4, pp.597-610, 2013 (SCI-Expanded)

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

Yolcu U., Egrioglu E., ALADAĞ Ç. H.

DECISION SUPPORT SYSTEMS , vol.54, no.3, pp.1340-1347, 2013 (SCI-Expanded, Scopus)

48. Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks

Egrioglu E., ALADAĞ Ç. H., Yolcu U.

EXPERT SYSTEMS WITH APPLICATIONS , vol.40, no.3, pp.854-857, 2013 (SCI-Expanded, Scopus)

49. An ARMA Type Fuzzy Time Series Forecasting Method Based on Particle Swarm Optimization

Egrioglu E., YOLCU U., ALADAĞ Ç. H., Kocak C.

MATHEMATICAL PROBLEMS IN ENGINEERING , vol.2013, 2013 (SCI-Expanded, Scopus)

50. A Fuzzy Time Series Analysis Approach by Using Differential Evolution Algorithm Based on the Number of Recurrences of Fuzzy Relations

DALAR A. Z., EĞRİOĞLU E., YOLCU U., İLTER D., GÜNDOĞDU Ö.

American Journal of Intelligent Systems , vol.3, no.2, pp.75-82, 2013 (Peer-Reviewed Journal)

51. A New Fuzzy Time Series Analysis Approach by Using Differential Evolution Algorithm and Chronologically Determined Weights

DALAR A. Z., EĞRİOĞLU E., YOLCU U., İLTER D., GÜNDOĞDU Ö.

Journal of Social and Economic Statistics , vol.2, no.1, pp.33-30, 2013 (Peer-Reviewed Journal)

52. The Use of Partial Least Squares Regression and Feed Forward Artificial Neural Networks Methods in Prediction Vertical and Broad Jumping of Young Football Players

CAĞCAĞ YOLCU Ö., YOLCU U., EĞRİOĞLU E.

World Applied Sciences Journal , vol.21, no.4, pp.572-577, 2013 (Peer-Reviewed Journal)

53. A Novel Seasonal Fuzzy Time Series Method to the Forecasting of Air Pollution Data in Ankara

DALAR A. Z., EĞRİOĞLU E., YOLCU U., İLTER D., GÜNDOĞDU Ö.

American Journal of Intelligent Systems , vol.3, no.1, pp.13-19, 2013 (Peer-Reviewed Journal)

54. A new time invariant fuzzy time series forecasting method based on particle swarm optimization

ALADAĞ Ç. H., Yolcu U., Egrioglu E., Dalar A. Z.

APPLIED SOFT COMPUTING , vol.12, no.10, pp.3291-3299, 2012 (SCI-Expanded)

55. A SIMULATION BASED APPROACH TO CALCULATE THE FUZZY CORRELATION COEFFICIENT OF FUZZY OBSERVATIONS

ALADAĞ Ç. H., Egrioglu E., Yolcu U.

HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS , vol.41, no.3, pp.361-364, 2012 (SCI-Expanded)

56. The Forecasting of Istanbul Stock Market with a High Order Multivariate Fuzzy Time Series Forecasting Model

CAĞCAĞ YOLCU Ö., YOLCU U., EĞRİOĞLU E.

Turkish Journal of Fuzzy Systems , vol.3, no.2, pp.118-138, 2012 (Peer-Reviewed Journal)

57. A novel seasonal fuzzy time series method

Alpaslan F., Cagcag Ö., ALADAĞ Ç. H., Yolcu U., Egrioglu E.

Hacettepe Journal of Mathematics and Statistics , vol.41, no.3, pp.375-385, 2012 (SCI-Expanded)

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

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

EXPERT SYSTEMS WITH APPLICATIONS , vol.38, no.8, pp.10355-10357, 2011 (SCI-Expanded)

59. Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks

Erilli N. A., Yolcu U., Egrioglu E., ALADAĞ Ç. H., Oner Y.

EXPERT SYSTEMS WITH APPLICATIONS , vol.38, no.3, pp.2248-2252, 2011 (SCI-Expanded)

60. A new approach based on the optimization of the length of intervals in fuzzy time series

Egrioglu 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)

61. Forecast Combination by Using Artificial Neural Networks

ALADAĞ Ç. H., Egrioglu E., Yolcu U.

NEURAL PROCESSING LETTERS , vol.32, no.3, pp.269-276, 2010 (SCI-Expanded)

62. A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks

ALADAĞ Ç. H., Yolcu U., Egrioglu E.

MATHEMATICS AND COMPUTERS IN SIMULATION , vol.81, no.4, pp.875-882, 2010 (SCI-Expanded)

63. Finding an optimal interval length in high order fuzzy time series

Egrioglu 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)

64. A new approach based on artificial neural networks for high order multivariate fuzzy time series

Egrioglu 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)

65. A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model

Egrioglu 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)

66. 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, pp.4228-4231, 2009 (SCI-Expanded)

67. A new approach for determining the length of intervals for fuzzy time series

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

APPLIED SOFT COMPUTING , vol.9, no.2, pp.647-651, 2009 (SCI-Expanded, Scopus)

Papers Presented at Peer-Reviewed Scientific Conferences 66

1. Time Series Prediction using Dendritic Neuron Model Trained by a Robust Learning Algorithm

Yılmaz A., YOLCU U.

4th International Conference on Data Science and Applications (ICONDATA’21), June 4-5, 2021, TURKEY, Turkey, 04 June 2021, pp.4, (Summary Text)

2. Cascade Forward Neural Network for Financial Time Series Forecasting

Yılmaz A., YOLCU U.

4th International Conference on Data Science and Applications (ICONDATA’21), June 4-5, 2021, TURKEY, Turkey, 04 June 2021, pp.84, (Summary Text)

3. The Use of Some Loss Functions in Fuzzy Time SeriesForecasting Problem

CAĞCAĞ YOLCU Ö., BAŞ E., EĞRİOĞLU E., YOLCU U.

11. International Statistics Days Conference, 3 - 07 October 2018, pp.969-979, (Full Text)

4. Bagged Pi-Sigma artificial neural networks with artificial bee colony algorithm for forecasting

EĞRİOĞLU E., YOLCU U., BAŞ E., DALAR A. Z.

4th International Researchers, Statisticians and Young Statisticians Congress, 28 - 30 April 2018, pp.85, (Summary Text)

5. A new intuitionistic high order fuzzy time series method

EĞRİOĞLU E., YOLCU U., BAŞ E.

10th International Statistics Congress, 6 - 08 December 2017, pp.87, (Summary Text)

6. Maximum likelihood estimation using genetic algorithm for the parameters of skew-t distribution under type II censoring

YALÇINKAYA A., YOLCU U., ŞENOĞLU B.

10th International Statistics Congress, 6 - 08 December 2017, (Summary Text)

7. A New Intuitionistic Fuzzy Functions Approach based on IID Bootstrap for Time Series Prediction

CAĞCAĞ YOLCU Ö., EĞRİOĞLU E., BAŞ E., KOÇAK C., YOLCU U.

I. International Symposium on Economics, Finance, and Econometrics, İstanbul, Turkey, 21 - 23 September 2017, pp.74, (Summary Text)

8. Robust Single Multiplicative Neuron Model Artificial Neural Network with Adaptive Weights and Biases for Forecasting

YOLCU U., EĞRİOĞLU E., BAŞ E., DALAR A. Z., CAĞCAĞ YOLCU Ö.

I. International Symposium on Economics, Finance, and Econometrics, İstanbul, Turkey, 21 - 23 September 2017, pp.30-31, (Summary Text)

9. A MULTI-COMPONENT HYBRID LEARNING ALGORITHM FOR MULTIPLICATIVE NEURON MODEL ARTIFICIAL NEURAL NETWORKS

YOLCU U., EĞRİOĞLU E., BAŞ E., DALAR A. Z., CAĞCAĞ YOLCU Ö.

EUREFE’17 International Conference, Muğla, Turkey, 27 - 29 July 2017, vol.1, pp.316-317, (Summary Text)

10. A NEW INTUITIONISTIC FUZZY FUNCTIONS APPROACH BASED ON HESITATION MARGIN FOR TIME SERIES PREDICTION

CAĞCAĞ YOLCU Ö., BAŞ E., EĞRİOĞLU E., YOLCU U.

EUREFE’17 International Conference, Muğla, Turkey, 27 - 29 July 2017, vol.1, pp.314-315, (Summary Text)

11. MODIFIED HOLT METHOD BASED ON PARTICLE SWARM OPTIMIZATION

EĞRİOĞLU E., YOLCU U., BAŞ E.

EUREFE’17 International Conference, Muğla, Turkey, 27 - 29 July 2017, vol.1, pp.288-289, (Summary Text)

12. PARAMETER ESTIMATION IN WINTERS EXPONENTIAL SMOOTHING METHOD WITH PARTICLE SWARM OPTIMIZATION

BAŞ E., EĞRİOĞLU E., YOLCU U.

EUREFE’17 International Conference, Muğla, Turkey, 27 - 29 July 2017, vol.1, pp.286-287, (Summary Text)

13. Bootstrapped Robust Pi-Sigma Artificial Neural Network Based on Robust Learning Algorithm

GÜNDOĞDU Ö., EĞRİOĞLU E., YOLCU U., BAŞ E., DALAR A. Z.

3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC-2017), Konya, Turkey, 24 - 26 May 2017, pp.124, (Summary Text)

14. Maximum Likelihood Estimation for the Parameters of Skew-t Distribution Using Genetic Algorithm

YALÇINKAYA A., ŞENOĞLU B., YOLCU U.

3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC-2017), Konya, Turkey, 24 - 26 May 2017, pp.212, (Summary Text)

15. A Robust Learning Algorithm for Pi-Sigma Artificial Neural Networks Based on M-Estimator

BAŞ E., EĞRİOĞLU E., YOLCU U.

3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC-2017), Konya, Turkey, 24 - 26 May 2017, pp.30, (Summary Text)

16. A New Intuitionistic Time Series Fuzzy Inference System

CAĞCAĞ YOLCU Ö., BAŞ E., YOLCU U., EĞRİOĞLU E.

3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC-2017), Konya, Turkey, 24 - 26 May 2017, pp.29, (Summary Text)

17. IID Bootstrap Approach with Rejection Sampling for Pi-Sigma Artificial Neural Network

YOLCU U., EĞRİOĞLU E., BAŞ E., DALAR A. Z.

3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC-2017), Konya, Turkey, 24 - 26 May 2017, pp.32, (Summary Text)

18. An application of ARMA type high order fuzzy time series forecast method based on fuzzy logic relation tables to TAIEX Data

KOÇAK C., EĞRİOĞLU E., YOLCU U., BAŞ E.

3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC-2017), Konya, Turkey, 24 - 26 May 2017, pp.123, (Summary Text)

19. Bagging Fuzzy Ridge Regression Functions Approach for Forecasting

DALAR A. Z., BAŞ E., YOLCU U., EĞRİOĞLU E.

3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC-2017), Konya, Turkey, 24 - 26 May 2017, pp.31, (Summary Text)

20. A Hybrid Forecasting Method Based On Exponential Smoothing and Multiplicative Neuron Model Artificial Neural Network

EĞRİOĞLU E., YOLCU U., BAŞ E., DALAR A. Z.

3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC-2017), Konya, Turkey, 24 - 26 May 2017, pp.28, (Summary Text)

21. A Probabilistic Prediction of Time Series based on Sigma Pi Neural Networks

YOLCU U.

Xth International Statistics Days Conference (ISDC’2016), 7 - 09 October 2016, (Full Text)

22. Median Pi Artificial Neural Network for Forecasting

EĞRİOĞLU E., DALAR A. Z., YOLCU U., BAŞ E.

INTERNATIONAL CONFERENCE ON TRENDS AND PERSPECTIVES IN LINEAR STATISTICAL INFERENCE, 22 - 25 August 2016, (Summary Text)

23. BOOTSTRAP FUZZY FUNCTİONS FOR TİME SERİES FORECASTİNG APPLİCATİON OF BORSA İSTANBUL

DALAR A. Z., YOLCU U., BAŞ E., EĞRİOĞLU E.

17th International Symposium on Econometrics, Operations Research and Statistics, Sivas, Turkey, 2 - 04 June 2016, pp.362-363, (Summary Text)

24. Maximum Likelihood Estimation with Genetic Algorithm for The Parameters of Skew Normal Distribution

YALÇINKAYA A., ŞENOĞLU B., YOLCU U.

International Conference on Information Complexity and Statistical Modeling in High Dimensions with Application, 18 - 21 May 2016, (Summary Text)

25. A New Search Space for Genetic Algorithm

YALÇINKAYA A., ŞENOĞLU B., YOLCU U.

International Conference on Information Complexity and Statistical Modeling in High Dimensions with Application, 18 - 21 May 2016, (Summary Text)

26. A NEW DYNAMIC WEIGHT NEURAL NETWORK FOR BIST 100 MODELLING

EĞRİOĞLU E., YOLCU U., CAĞCAĞ YOLCU Ö., BAŞ E.

1th International Black Sea Business Administion Symposium, 16 - 18 May 2016, (Full Text)

27. A HYBRID APPROACH FOR ROBUST TRAINING OF SINGLE MULTIPLICATIVE NEURON MODEL ARTIFICIAL NEURAL NETWORKS

BAŞ E., EĞRİOĞLU E., CAĞCAĞ YOLCU Ö., YOLCU U.

1th International Black Sea Business Administion Symposium, 16 - 18 May 2016, (Full Text)

28. A Hybrid Multivariate Fuzzy Time Series Method Based on Gustafson Kessel Fuzzy Clustering Technique and Artificial Neural Network

YOLCU U., ALADAĞ Ç. H., BAŞ E., EĞRİOĞLU E.

International Journal of Arts & Sciences’ (IJAS) International Conference for Technology and Science, 13 - 16 April 2015, (Summary Text)

29. A New Probabilistic Fuzzy Inference System for Time Series Forecasting

EĞRİOĞLU E., BAŞ E., YOLCU U.

12th German Probability and Statistics Days, 1 - 04 March 2016, (Summary Text)

30. Type 1 Fuzzy Function Approach Based on Ridge Regression for Forecasting of Time Series

BAŞ E., EĞRİOĞLU E., YOLCU U.

12th German Probability and Statistics Days, 1 - 04 March 2016, (Summary Text)

31. An Ensemble of Single Multiplicative Neuron Models for Probabilistic Prediction

YOLCU U., Jin Y., Egrioglu E.

IEEE Symposium Series on Computational Intelligence (IEEE SSCI), Athens, Greece, 6 - 09 December 2016, (Full Text)

32. A New Probabilistic Fuzzy Time Series Method

EĞRİOĞLU E., BAŞ E., ALADAĞ Ç. H., YOLCU U.

The 4th International Fuzzy Systems Symposium (FUZZYSS’15), İstanbul, Turkey, 5 - 06 November 2015, pp.227-231, (Full Text)

33. A New Type Recurrent Multiplicative Neuron Model Articial Neural Network for Forecasting

BURÇİN ŞEYDA Ç., EĞRİOĞLU E., YOLCU U.

International work-conference on Time Series(ITISE 2015), Granada, Nicaragua, 1 - 03 July 2015, pp.637, (Summary Text)

34. A High Order Time Fuzzy Time Series Forecasting Model Based on Fuzzy C means and Articial Neural Networks

CAĞCAĞ YOLCU Ö., YOLCU U., EĞRİOĞLU E., ALADAĞ Ç. H.

International work-conference on Time Series(ITISE 2015), Granada, Nicaragua, 1 - 03 July 2015, pp.564, (Summary Text)

35. Forecasting Turkey Electricity Consumption by Using Fuzzy Functions Approach

DALAR A. Z., YOLCU U., EĞRİOĞLU E., ALADAĞ Ç. H.

International work-conference on Time Series(ITISE 2015), Granada, Nicaragua, 1 - 03 July 2015, pp.542, (Summary Text) Sustainable Development

36. A Fuzzy Time Series Network for Forecasting

BAŞ E., EĞRİOĞLU E., ALADAĞ Ç. H., YOLCU U.

International work-conference on Time Series(ITISE 2015), Granada, Nicaragua, 1 - 03 July 2015, pp.541, (Summary Text)

37. The Training of Artificial Neural Networks with Multiplicative Neuron Model Based On Differential Evolution Algorithm for Forecasting

YOLCU U., EĞRİOĞLU E., USLU V. R., ALADAĞ Ç. H., BAŞARAN M. A.

Global Conference on Computer Sciences, Software, Networks & Engineering, Aydın, Turkey, 6 - 08 November 2014, (Summary Text)