Is Support Vector Regression method suitable for predicting rate of penetration?
Journal of Petroleum Science and Engineering, Vol. 194, Haziran 2020, ISSN: 0920-4105
KOR KORHAN, ALTUN GÜRŞAT
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Online Support Vector Regression Based Adaptive NARMA-L2 Controller for Nonlinear Systems
NEURAL PROCESSING LETTERS, Ocak 2021, ISSN: 1370-4621
UÇAK KEMAL, ÖKE GÜNEL GÜLAY
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Support vector regression based controller design methods for nonlinear systems
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2016
KEMAL UÇAK
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Penetration rate optimization with support vector regression method
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2015
KORHAN KOR
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Genetic Based Approach to the Synthesis of a Cylindrical-Rectangular Microstrip Conformal Antenna Using Artificial Neural Network and Support Vector Regression Models
ELECO 2017 10th International Conference on Electrical and Electronics Engineering, 30 Kasım 2017
YİĞİT MAHMUD ESAD,ÖKE GÜNEL GÜLAY,GÜNEL MURAT TAYFUN
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NARMA L2 Controller based on Online Support Vector Regression
International Conference on Advanced Technology and Sciences (ICAT 2016), Konya/TÜRKİYE, 1 Eylül 2016
UÇAK KEMAL,ÖKE GÜNEL GÜLAY
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Support Vector Regression Based Inverse Kinematic Modeling for a 7 DOF Redundant Robot Arm
INISTA 2012, , International Symposium on Innovations in Intelligent Systems and Applications, Trabzon, Turkey,, 2 Temmuz 2012
SARIYILDIZ EMRE,UÇAK KEMAL,ÖKE GÜNEL GÜLAY,TEMELTAŞ HAKAN,OHNISHI KOUHEI
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Modeling of Quadruple Tank System Using Support Vector Regression
INISTA 2011, International Symposium on Innovations in Intelligent Systems and Applications, Istanbul, Turkey, 15 Haziran 2011
UÇAK KEMAL,ÖKE GÜNEL GÜLAY
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State-of-Charge Estimation of Li-ion Battery Cell using Support Vector Regression and Gradient Boosting Techniques
2019 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) 2019 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), Istanbul, Turkey/TÜRKİYE, 27 Ağustos 2019, ISSN: 1842-0133
İPEK EYMEN,EREN KEREM,YILMAZ MURAT
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Photosynthetic Active Radiation Forecast via Artificial Neural Network, Support Vector Regression and Multiple Linear Regression
The 9th International Symposium on Image Processing, Wavelet and Applications (IWW2017), 5 Kasım 2017
YEŞİLKÖY SERHAN,BAYDAROĞLU YEŞİLKÖY ÖZLEM,ŞAYLAN LEVENT,KOÇAK KASIM
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Forecasting CO2 Flux by Using Support Vector Regression
3rd International Symposium for Agriculture and Food-ISAF 2017, Ohrid/MAKEDONYA, 18 Ekim 2017, s. 297
ASLAN TOPRAK,KOÇAK KASIM,ÇALDAĞ BARIŞ,AKATAŞ NİLCAN,YEŞİLKÖY SERHAN,ŞAYLAN LEVENT
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Prediction of global solar radiation using support vector regression
10. Uluslararası Temiz Enerji Sempozyumu, 24 Ekim 2016
KOÇAK KASIM,BAYDAROĞLU ÖZLEM,ŞAYLAN LEVENT,YEŞİLKÖY SERHAN
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Entropy Based Variability and Support Vector Regression Based Forecast of Drought Index
American Meteorological Society (AMS) 27th Conference on Weather Analysis and Forecasting, 29 Haziran 2015
BAYDAROĞLU ÖZLEM,KOÇAK KASIM,ŞAYLAN LEVENT
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Forecasting Of Soil Water Content Using Support Vector Regression Method For Agricultural Drought
American Meteorological Society (AMS) 27th Conference on Weather Analysis and Forecasting, 29 Haziran 2015
ASLAN TOPRAK,BAYDAROĞLU ÖZLEM,KOÇAK KASIM,ŞAYLAN LEVENT
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Prediction of Commonly used Drought Indices using Support Vector Regression Powered by Chaotic Approach
Italian Journal of Agrometeorology-Rivista Italiana di Agrometeorologia, Aralık 2020, ISSN: 2038-5625
BAYDAROĞLU YEŞİLKÖY ÖZLEM,KOÇAK KASIM,ŞAYLAN LEVENT
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River flow prediction using hybrid models of support vector regression with the wavelet transform, singular spectrum analysis and chaotic approach
Meteorology and Atmospheric Physics, Vol. 130, No. 3, Haziran 2018, s. 349-359, ISSN: 0177-7971
BAYDAROĞLU ÖZLEM,KOÇAK KASIM,DURAN KEMAL
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Prediction of Commonly used Drought Indices using Support Vector Regression Powered by Chaotic Approach
Italian Journal of Agrometeorology-Rivista Italiana di Agrometeorologia, Aralık 2020, ISSN: 2038-5625
BAYDAROĞLU YEŞİLKÖY ÖZLEM,KOÇAK KASIM,ŞAYLAN LEVENT
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Prediction of Commonly used Drought Indices using Support Vector Regression Powered by Chaotic Approach
Italian Journal of Agrometeorology-Rivista Italiana di Agrometeorologia, ISSN: 2038-5625
BAYDAROĞLU YEŞİLKÖY ÖZLEM,KOÇAK KASIM,ŞAYLAN LEVENT
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A Novel Adaptive NARMA L2 Controller Based on Online Support Vector Regression for Nonlinear Systems
NEURAL PROCESSING LETTERS, Vol. 44, No. 3, Aralık 2016, s. 857-886, ISSN: 1370-4621
UÇAK KEMAL,ÖKE GÜNEL GÜLAY
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An adaptive sliding mode controller based on online support vector regression for nonlinear systems
Soft Computing, Vol. 24, No. 6, Mart 2020, s. 4623-4643, ISSN: 1432-7643
UÇAK KEMAL,ÖKE GÜNEL GÜLAY
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