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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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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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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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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Streaming Linear Regression on Spark MLlib and MOA
FOSINT-SI International Symposium on Foundations of Open Source Intelligence and Security Informatics, in conjunction with the 2015 IEEE/ACM International Conference ASONAM, 25 Ağustos 2015
BARIŞ AKGÜN,ÖĞÜDÜCÜ ŞULE
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Application of radial basis function and generalized regression neural networks in non linear utility function specification for travel mode choice modelling
Mathematical and Computer Modelling, Vol. 44, No. 78, Ekim 2006, s. 640-658, ISSN: 0895-7177
ÇELİKOĞLU HİLMİ BERK
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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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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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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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