Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations CH Aladag, MA Basaran, E Egrioglu, U Yolcu, VR Uslu Expert Systems with Applications 36 (3), 4228-4231, 2009 | 233 | 2009 |
A new approach for determining the length of intervals for fuzzy time series U Yolcu, E Egrioglu, VR Uslu, MA Basaran, CH Aladag Applied Soft Computing 9 (2), 647-651, 2009 | 162 | 2009 |
A new approach based on artificial neural networks for high order multivariate fuzzy time series E Egrioglu, CH Aladag, U Yolcu, VR Uslu, MA Basaran Expert Systems with Applications 36 (7), 10589-10594, 2009 | 145 | 2009 |
Finding an optimal interval length in high order fuzzy time series E Egrioglu, CH Aladag, U Yolcu, VR Uslu, MA Basaran Expert Systems with Applications 37 (7), 5052-5055, 2010 | 142 | 2010 |
A new approach based on the optimization of the length of intervals in fuzzy time series E Egrioglu, CH Aladag, MA Basaran, U Yolcu, VR Uslu Journal of Intelligent & Fuzzy Systems 22 (1), 15-19, 2011 | 123 | 2011 |
A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model E Egrioglu, CH Aladag, U Yolcu, MA Basaran, VR Uslu Expert Systems with Applications 36 (4), 7424-7434, 2009 | 120 | 2009 |
Fuzzy time series forecasting method based on Gustafson–Kessel fuzzy clustering E Egrioglu, CH Aladag, U Yolcu, VR Uslu, NA Erilli Expert Systems with Applications 38 (8), 10355-10357, 2011 | 115 | 2011 |
A modified genetic algorithm for forecasting fuzzy time series E Bas, VR Uslu, U Yolcu, E Egrioglu Applied intelligence 41, 453-463, 2014 | 84 | 2014 |
A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations VR Uslu, E Bas, U Yolcu, E Egrioglu Swarm and Evolutionary Computation 15, 19-26, 2014 | 69 | 2014 |
Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market U Yolcu, CH Aladag, E Egrioglu, VR Uslu Journal of Statistical Computation and Simulation 83 (4), 599-612, 2013 | 65 | 2013 |
Robust learning algorithm for multiplicative neuron model artificial neural networks E Bas, VR Uslu, E Egrioglu Expert Systems with Applications 56, 80-88, 2016 | 51 | 2016 |
TÜRKİYE’DE ENFLASYONUN İLERİ VE GERİ BESLEMELİ YAPAY SİNİR AĞLARININ MELEZ YAKLAŞIMI İLE ÖNGÖRÜSÜ NA Erilli, E Eğrioğlu, U Yolcu, ÇH Aladağ, VR Uslu Doğuş Üniversitesi Dergisi 11 (1), 42-55, 2010 | 41 | 2010 |
A new approach based on artificial neural networks for high order bivariate fuzzy time series E Egrioglu, VR Uslu, U Yolcu, MA Basaran, AC Hakan Applications of Soft Computing: From Theory to Praxis, 265-273, 2009 | 32 | 2009 |
A high order seasonal fuzzy time series model and application to international tourism demand of Turkey CH Aladag, E Egrioglu, U Yolcu, VR Uslu Journal of Intelligent & Fuzzy Systems 26 (1), 295-302, 2014 | 30 | 2014 |
Finding optimal value for the shrinkage parameter in ridge regression via particle swarm optimization VR Uslu, E Egrioglu, E Bas American Journal of Intelligent Systems 4 (4), 142-147, 2014 | 18 | 2014 |
Full scale subsurface flow constructed wetlands for domestic wastewater treatment: 3 years' experience F Aydın Temel, G Özyazıcı, VR Uslu, Y Ardalı Environmental Progress & Sustainable Energy 37 (4), 1348-1360, 2018 | 15 | 2018 |
A new hybrid approach for forecasting a seasonal fuzzy time series VR Uslu, CH Aladag, U Yolcu, E Egrioglu International symposium computing science and engineering proceeding book …, 2010 | 15 | 2010 |
A new fuzzy time series analysis approach by using differential evolution algorithm and chronologically-determined weights VR Uslu, E Bas, U Yolcu, E Egrioglu Journal of Social and Economic Statistics 2 (1), 18-30, 2013 | 5 | 2013 |
Sediment toxicity for evaluation of sediment quality guidelines and bioavailability of copper and zinc Ş Atay, HB Özkoç, VR Uslu Fresenius Environ. Bull 22 (4a), 1031-1042, 2013 | 5 | 2013 |
YÜKSEK DERECELİ BULANIK ZAMAN SERİSİ YAKLAŞIMI İLE TÜRKİYE ENFLASYON ÖNGÖRÜSÜ VR Uslu, U Yolcu, E Eğrioğlu, ÇH Aladağ, MA Başaran Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi 27 (1), 85-95, 2012 | 4 | 2012 |