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PROF.DR. EREN BAŞ
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Yayınlar & Eserler
SCI,SSCI,AHCI İNDEKSLERİNE GİREN DERGİLERDE YAYINLANAN MAKALELER
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| Yolcu U., Egrioglu E., Bas E., Cagcag Yolcu O., Dalar A.Z. (2019) Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network, Journal of Experimental and Theoretical | 08.04.2019 | | | |
| Egrioglu E., Bas E., Cagcag Yolcu O., Yolcu U. (2019) Intuitionistic time series fuzzy inference system, Engineering Applications of Artificial Intelligence, 82, 175-183. | 01.04.2019 | | | |
| Yolcu U., Egrioglu E., Bas E., Dalar A.Z. (2019) Median-Pi artificial neural network for forecasting, Neural Computing and Applications, 31(1), 307-316. | 01.01.2019 | | | |
| Yolcu U., Bas E., Egrioglu E. (2018) A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap, Journal of Intelligent and Fuzzy Systems, 35(2), 2349-2358. | 01.08.2018 | | | |
| Bas E., Grosan C., Egrioglu E., Yolcu U. (2018) High order fuzzy time series method based on Pi-Sigma neural network, Engineering Applications of Artificial Intelligence, 72, 350–356. | 01.06.2018 | | | |
| Cagcag Yolcu O., Bas E., Egrioglu E., Yolcu U. (2018) Single multiplicative neuron model artificial neural network with autoregressive coefficient for time series modelling, Neural Processing Letters, 47(3),1133-1147. | 01.06.2018 | | | |
| Akdeniz E., Egrioglu E., Bas E., Yolcu U. (2018) An ARMA type Pi-Sigma artificial neural network for nonlinear time series forecasting, Journal of Artificial Intelligence and Soft Computing Research, 8(2), 121-132. | 02.04.2018 | | | |
| Bas E., Uslu V.R., Egrioglu E. (2016) Robust learning algorithm for multiplicative neuron model artificial neural networks, Expert Systems with Applications, 56, 80-88. | 01.09.2016 | | | |
| Yolcu U., Bas E. (2016) The forecasting of labour force participation and the unemployment rate in Poland and Turkey using fuzzy time series methods, Comparative Economic Research, 19(2), 5-25. | 01.06.2016 | | | |
| Bas E. (2016) The training of multiplicative neuron model based artificial neural networks with differential evolution algorithm for forecasting, Journal of Artificial Intelligence and Soft Computing Research, 6(1), 5-11. | 01.01.2016 | | | |
| Bas E., Egrioglu E., Aladag C.H., Yolcu U. (2015) Fuzzy time-series network used to forecast linear and nonlinear time series, Applied Intelligence, 43: 343–355. | 01.09.2015 | | | |
| Yolcu U., Bas E., Egrioglu E., Aladag C.H. (2015) A new multilayer feed forward network model based on Trimmed Mean Neuron Model, Neural Network World, 25(6), 587-602. | 01.05.2015 | | | |
| Egrioglu E., Yolcu U., Aladag C.H., Bas E. (2015) Recurrent multiplicative neuron model artificial neural network for non-linear time series forecasting, Neural Processing Letters, 41, 249-258. | 01.04.2015 | | | |
| Aladag C.H., Yolcu U., Egrioglu E., Bas, E. (2014) Fuzzy lagged variable selection in fuzzy time series with genetic algorithms, Applied Soft Computing, 22, 465-473. | 01.09.2014 | | | |
| Bas E., Uslu V.R., Yolcu U., Egrioglu E. (2014)
A modified genetic algorithm for fuzzy time series to find the optimal interval lengths, Applied Intelligence, 41(2), 453-463. | 01.09.2014 | | | |
| Uslu V.R., Bas E., Yolcu U., Egrioglu E. (2014)
A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations, Swarm and Evolutionary Computation, 15,19–26. | 01.04.2014 | | | |
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DİĞER DERGİLERDE YAYIMLANAN MAKALELER
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| Bas E., Egrioglu E., Uslu V.R. (2017) Shrinkage parameters for each explanatory variable found via particle swarm optimization in ridge regression, Peertechz Journal of Computer Science and Engineering, 2(1), 012-020. | 13.03.2017 | | | |
| Bas E., Yolcu U., Egrioglu E., Cagcag Yolcu O., Dalar A.Z. (2016) Single multiplicative neuron model artificial neuron network trained by bat algorithm for time series forecasting, American Journal of Intelligent Systems, 6(3), 74-77. | 01.09.2016 | [Web Link] | | |
| Yolcu U., Bas E., (2016) The forecasting of labour force participation and the unemployment rate in Poland and Turkey using fuzzy time series methods, Comparative Economic Research, 19(2), 5-25. | 01.06.2016 | [Web Link] | | |
| Egrioglu E., Bas E., Aladag C.H., Yolcu U. (2016) Probabilistic fuzzy time series method based on artificial neural network, American Journal of Intelligent Systems, 6(2), 42-47. | 01.04.2016 | [Web Link] | | |
| Bas E. (2016) The training of multiplicative neuron model based artificial neural networks with differential evolution algorithm for forecasting, Journal of Artificial Intelligence and Soft Computing Research, 6(1), 5-11. | 01.01.2016 | [Web Link] | | |
| Bas E., Yolcu U., Egrioglu E., Aladag C.H. (2015) A fuzzy time series forecasting method based on operation of union and feed forward artificial neural network, American Journal of Intelligent Systems, 5(3), 81-91. | 01.07.2015 | [Web Link] | | |
| Bas E., Uslu V.R., Yolcu U., Egrioglu E. (2014) A fuzzy time series approach using de/best/1 mutation strategy of differential evolution algorithm, Aloy Journal of Soft Computing and Applications, 2(2), 60-69. | 03.11.2014 | [Web Link] | | |
| Uslu V.R., Egrioglu E., Bas E. (2014) Finding optimal value for the shrinkage parameter in ridge regression via particle swarm optimization, American Journal of Intelligent systems, 4(4),142-147. | 01.09.2014 | [Web Link] | | |
| Egrioglu E., Aladag C.H., Yolcu U., Bas E. (2014) A new adaptive network based fuzzy ınference system for time series forecasting, Aloy Journal of Soft Computing and Applications, 2(1), 25-32. | 01.07.2014 | [Web Link] | | |
| Bas E., Uslu V.R., Yolcu U., Egrioglu E. (2013) A fuzzy time series analysis approach by using differential evolution algorithm based on the number of recurrences of fuzzy relations, American Journal of Intelligent systems, 3(2), 75-82. | 01.07.2013 | [Web Link] | | |
| Uslu V.R., Bas E., Yolcu U., Egrioglu E. (2013) A new fuzzy time series analysis approach by using differential evolution algorithm and chronologically-determined weights, Journal of Social and Economic Statistics, 2(1), 18-30. | 01.01.2013 | [Web Link] | | |
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HAKEMLİ KONGRE / SEMPOZYUMLARIN BİLDİRİ KİTAPLARINDA YER ALAN YAYINLAR
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| Bas E., Egrioglu E., Yolcu U., Fuzzy regression function approach based on moving block bootstrap method, 11. International Statistics Days Conference, Muğla/Turkey, Book Page: 653-663, 03-07 October 2018. | 03.10.2018 | | | |
| Cagcag Yolcu O., Bas E., Egrioglu E., Yolcu U., The use of some loss functions in fuzzy time series forecasting problem, 11. International Statistics Days Conference, Muğla/Turkey, Book Page: 968-979, 03-07 October 2018. | 03.10.2018 | | | |
| Tak, T., Egrioglu E., Bas E., Yolcu U., Combination of forecasting methods based on Fuzzy C-Means clustering, 11. International Statistics Days Conference, Muğla/Turkey, Book Page: 123, 03-07 October 2018. | 03.10.2018 | | | |
| Yolcu U., Egrioglu E., Bas E., Cagcag Yolcu O., An intuitionistic fuzzy time series prediction method based on Sigma-Pi neural network, 11. International Statistics Days Conference, Muğla/Turkey, Book Page: 398-407, 03-07 October 2018. | 03.10.2018 | | | |
| Kocak, C., Egrioglu E., Bas E., Yolcu U., A new intuitionistic high order fuzzy time series method based on robust regression, 11. International Statistics Days Conference, Muğla/Turkey, Book Page: 170, 03-07 October 2018. | 03.10.2018 | | | |
| Bas E., Egrioglu E., Yolcu U., Dalar A.Z., Intuitionistic fuzzy regression functions approach for forecasting, 13th German Probability and Statistics Days 2018, Freiburg/Germany, Book Page: 149, 27 February-02 March 2018. | 27.02.2018 | | | |
| Yolcu U., Egrioglu E., Bas E., Winsorized Mean-Pi artificial neural network based on robust learning for time series forecasting, 13th German Probability and Statistics Days 2018, Freiburg/Germany, Book Page: 161-162, 27 February-02 March 2018. | 27.02.2018 | | | |
| Yolcu U., Egrioglu E., Bas E., A novel Holt’s method with seasonal component based on particle swarm optimization, 10th International Statistics Congress, Ankara/Turkey, Book Page: 86, 06-08 December 2017. | 06.11.2017 | | | |
| Egrioglu E., Yolcu U., Bas E., A new intuitionistic high order fuzzy time series method, 10th International Statistics Congress, Ankara/Turkey, Book Page: 87, 06-08 December 2017. | 06.11.2017 | | | |
| Bas E., Egrioglu E., Yolcu U., A new hybrid method for the training of multiplicative neuron model artificial neural networks, 10th International Statistics Congress, Ankara/Turkey, Book Page: 95, 06-08 December 2017. | 06.11.2017 | | | |
| Bas E., Egrioglu E., Yolcu U., Parameter estimation in Winters exponential smoothing method with particle swarm optimization, EUREFE’17, Book Page: 287, Aydın/Turkey, 27-29 July 2017. | 27.07.2017 | | | |
| Egrioglu E., Yolcu U., Bas E., Modified Holt method based on particle swarm optimization, EUREFE’17, Book Page: 289, Aydın/Turkey, 27-29 July 2017. | 27.07.2017 | | | |
| Cagcag Yolcu O., Bas E., Egrioglu E., Yolcu U., A new intuitionistic fuzzy functions approach based on hesitation margin for time series prediction, EUREFE’17, Book Page: 314, Aydın/Turkey, 27-29 July 2017. | 27.07.2017 | | | |
| Yolcu U., Egrioglu E., Bas E., Dalar A.Z., Cagcag Yolcu O., A multi-component hybrid learning algorithm for multiplicative neuron model artificial neural networks, EUREFE’17, Book Page: 316, Aydın/Turkey, 27-29 July 2017. | 27.07.2017 | | | |
| Cagcag Yolcu O., Bas E., Yolcu U., Egrioglu E., A new intuitionistic time series fuzzy inference system, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 64, Konya/Turkey, 24-26 May 2017. | 24.05.2017 | | | |
| Dalar A.Z., Bas E., Yolcu U., Egrioglu E., Bagging fuzzy ridge regression functions approach for forecasting, 3rd International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2017), Book Page: 66, Konya/Turkey, 24-26 May 2017. | 24.05.2017 | | | |
| Bas E., A robust learning algorithm based on modified genetic algorithm for multiplicative neuron model neural networks, Xth International Statistics Days Conference (ISDC’2016), Book Page: 839-846, Giresun/ Turkey, 07-09 October 2016. | 07.10.2016 | | | |
| Uslu V.R., Kucukmustafa A.Z., Bas E., Genetik algoritmaya dayalı dayanıklı regresyon yaklaşımları, Xth International Statistics Days Conference (ISDC’2016), Book Page: 392-404, Giresun/ Turkey, 07-09 October 2016. | 07.10.2016 | | | |
| Kocak C., Dalar A.Z., Cagcag Yolcu O., Bas E., Egrioglu, E., A New Fuzzy Time Series Algorithm Based On Recurrent Pi-Sigma Artificial Neural Network, LINSTAT’2016, Book Page: 49, Istanbul/ Turkey, 2016 | 22.08.2016 | | | |
| Egrioglu E., Dalar A.Z., Yolcu U., Bas E., Median-Pi artificial neural network for forecasting, International Conference on Trends and Perspectives in Linear Statistical Inference (LINSTAT’2016), Book Page: 37, Istanbul/ Turkey, 22-25 August 2016. | 22.08.2016 | | | |
| Dalar A.Z., Yolcu U., Bas E., Egrioglu, E., 2016, Bootstrap Fuzzy Functions for Time Series Forecasting; Application of Borsa Istanbul, 17th International Symposium on Econometrics, Operations Research and Statistics | 02.06.2016 | | | |
| 37. Egrioglu E., Yolcu U., Cagcag Yolcu O., Bas E., A new dynamic weight neural network for BIST 100 modelling, I. International Black Sea Business Administration Symposium, Book Page: 602-611, Giresun/Turkey, 16-18 May 2016. | 16.05.2016 | | | |
| Bas E., Egrioglu E., Cagcag Yolcu O., Yolcu U., A Hybrid Approach for Robust Training of Single Multiplicative Neuron Model Artificial Neural Networks, I. International Black Sea Business Administration Symposium, Giresun/Turkey, 2016 | 15.05.2016 | | | |
| Bas E., Egrioglu E., Yolcu U., A new probabilistic fuzzy inference system for time series forecasting, 12th German Probability and Statistics Days 2016 (GPSD 2016), Book Page: 118, Bochum/Germany, 01-04 March 2016. | 01.03.2016 | | | |
| Bas E., Egrioglu E., Yolcu U., Type 1 fuzzy function approach based on ridge regression for forecasting of time series, 12th German Probability and Statistics Days 2016 (GPSD 2016), Book Page: 188, Bochum/Germany, 01-04 March 2016. | 01.03.2016 | | | |
| Bas E., Egrioglu E., Aladag C.H., Yolcu U., A fuzzy time series network for forecasting, International Work Conference on Time Series (ITISE 2015), Book Page: 541, Granada/Spain, 1-3 July 2015. | 01.07.2015 | | | |
| Yolcu U., Bas E., The Forecasting Of Labour Force Participation And Unemployment Rate In Poland And Turkey With Fuzzy Time Series Methods, Economy Today, Interdisciplinary Approach To Contemporary Economic Challenges, Lodz/Poland, 2015. | 15.04.2015 | | | |
| Cagcag Yolcu O., Bas E., A Robust Algorithm For Training Of Multiplicative Neuron Model Artificial Neural Networks, International Journal Of Arts & Science; Annual Multidisciplinary Conference, Paris/France, 2015. | 13.04.2015 | | | |
| Yolcu U., Aladag C.H., Bas E., Egrioglu E., A Hybrid Multivariate Fuzzy Time Series Method Based On Gustafson-Kessel Fuzzy Clustering Technique And Artificial Neural Network, International Journal Of Arts & Science | 13.04.2015 | | | |
| The Training Of Artificial Neural Networks With Multiplicative Neuron Model Based On Differential Evolution Algorithm For Forecasting, 2nd Global Conference On Computer Science, Software, Networks And Engineering | 06.11.2014 | | | |
| A New Artificial Neural Network Model Based On Trimmed Multiplicative Neuron Model To Determine Fuzzy Relations, 2nd Global Conference On Computer Science, Software, Networks And Engineering, Book Page: 10, Izmir/Kusadası, Turkey, 2014. | 06.11.2014 | | | |
| Uslu V.R., Bas E., Egrioglu E., A new method to find the optimal values of the shrinkage parameters in ridge regression, International Conference For Academic Disciplines, Vienna/Austria, 6-10 April 2014 | 06.04.2014 | | | |
| Bas E., Uslu V.R., Yolcu U., Egrioglu E., A fuzzy time series approach based on differential evolution algorithm using De/Best/1 mutation strategy, 8. Statistical Congress, Book Page: 172-173, Antalya/Turkey, 27-30 October 2013. | 27.10.2013 | | | |
| Baş E., Uslu V.R., Eğrioglu E., Aladag C.H., Yolcu, U., Bulanık zaman serisi çözümlemesinde bulanık ilişkilerin tekrar sayısını dikkate alan bir yaklaşım, 1. Genç İstatistikçiler Sempozyumu, Sayfa Numarası: 27, Ankara/Türkiye, 10-11 Eylül 2013. | 10.09.2013 | | | |
| Finding Optimal Value For The Shrinkage Parameter In Ridge Regression Via Particle Swarm Optimization, Xivth International Symposium On Econometrics - Operations Research And Statistics, Book Page: 336, Sarajevo, Bosnia And Herzegovina, 2013. | 24.05.2013 | | | |
| Egrioglu E., Yolcu U., Aladag C.H., Bas E., Recurrent multiplicative neuron model artificial neural network for Non-Linear time series forecasting, 2nd World Conference On Business, Economics & Management, Antalya/Turkey, 25-28 April 2013. | 25.04.2013 | | | |
| Uslu V.R., Bas E., Yolcu U., Egrioglu E., A New Fuzzy Time Series Analysis Approach By Using Differential Evolutionary Algorithm And Chronologically-Determined Weights, The 6th International Conference On Applied Statistics, Bucharest, Romania, 2012 | 15.11.2012 | | | |
| Uslu V.R., Bas E., Yolcu U., Egrioglu E., A fuzzy time series approach with differential evolution algorithm, 8th International Symposium of Statistics, Book Page: 66-67, Eskisehir/Turkey, 11-13 November 2012. | 11.10.2012 | | | |
| Uslu V.R., Bas E., Yolcu U., Egrioglu E., Genetik algoritmaya dayalı yeni bir bulanık zaman serisi yaklaşımı, International 7th Statistical Congress Proceeding Book, Page: 100-101, Antalya, Turkey, 28 April-01 May 2011. | 28.04.2011 | | | |
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KİTAP ve KİTAP BÖLÜMLERİ
ANSİKLOPEDİDE YAZILAN KONULAR
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