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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Adaptive stable backstepping controller based on support vector regression for nonlinear systems
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Vol. 129, Mart 2024, ISSN: 0952-1976
UÇAK KEMAL,ÖKE GÜNEL GÜLAY
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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 BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2016
KEMAL UÇAK
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Practical approaches to streamflow prediction: a comparative study of lumped models, regression methods, and machine learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2025
EMİRHAN CEMEK
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Particulate matter 2.5 – PM2.5 mapping using MODIS satellite data and multivariate non-linear regression analysis over Marmara Region – Turkey
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2021
MIDYAN ALDABASH
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Penetration rate optimization with support vector regression method
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2015
KORHAN KOR
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Estimation of total carbon, hydrogen, sulfur and gross calorific value by using multi lineer regression method
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2018
MUHAMMET SÖZER
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Extended water budget equation based on the fuzzy regression and implementation for lake Van
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2021
ECEM UYSAL
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A new classification approach for prediction of flyrock throw in surface mines
Bulletin of Engineering Geology and the Environment, Vol. 78, No. 1, Şubat 2019, s. 177-187, ISSN: 1435-9529
HÜDAVERDİ TÜRKER,AKYILDIZ ÖZGE
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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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Evaluation of capability of blast-induced ground vibration predictors considering measurement distance and different error measures
Environmental Earth Sciences, Vol. 78, No. 14, Temmuz 2019, ISSN: 1866-6280
HÜDAVERDİ TÜRKER,AKYILDIZ ÖZGE
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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 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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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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Multiple Linear Regression Approach for Quantification of Cd Removal Efficiency Without a Specific Analytical Signal
ISAS2019, 3rd International Symposium on Innovative Approaches in Scientific Studies, Engineering and Natural Sciences, Ankara/TÜRKİYE, 19 Nisan 2019, s. 26-26
ÇİNİ NEJLA,ÇALIŞIR FERAH
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The reflections of organizational identification built upon social identity theory on the perception of alienation in higher education
2016 International Academic Conference, BOSTON/AMERİKA BİRLEŞİK DEVLETLERİ, 1 Ağustos 2016, s. 328-344, ISSN: 2167-3179
ÇETİN MÜNEVVER,FAYDA KINIK FATMA ŞEHKAR
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Determining of Credit Card Frauds: A Comparison of Artificial Neural Networks and Logistic Regression
37th International Conference on Computer and Industrial Engineering, İskenderiye/MISIR, 20 Ekim 2007, s. 44-50
KILINÇ MEHMET SERDAR,IŞIKLI ERKAN
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