NARMA L2 Controller based on Online Support Vector Regression
International Conference on Advanced Technology and Sciences (ICAT 2016), Konya/TÜRKİYE, 1 Eylül 2016
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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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Penetration rate optimization with support vector regression method
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2015
KORHAN KOR
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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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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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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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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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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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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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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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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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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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Prediction of rainfall runoff‐induced sediment load from bare land surfaces by generalized regression neural network and empirical model
WATER AND ENVIRONMENT JOURNAL, Vol. 34, No. 1, Şubat 2020, s. 66-76, ISSN: 1747-6585
TAYFUR GÖKMEN, AKSOY HAFZÜLLAH, ERİŞ DUMAN EBRU
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ANN Decision Tree and Regression Methods for Forecasting Monthly Lagged Lake Water Level
9th World Congress of EWRA: Water Resources Management in a Changing World: Challenges and Opportunities, İstanbul/TÜRKİYE, 10 Haziran 2015
VAHEDDOOST BABAK,AKSOY HAFZÜLLAH,ABGHARI HIRAD,ZARE SX
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Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, No. 102389, Haziran 2020, s. 1-14, ISSN: 1361-9209
UYANIK TAYFUN,KARATUG CAGLAR,ARSLANOĞLU YASİN
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Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, Temmuz 2020, ISSN: 1361-9209
UYANIK TAYFUN,KARATUĞ ÇAĞLAR,ARSLANOĞLU YASİN
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Prediction of rainfall runoff‐induced sediment load from bare land surfaces by generalized regression neural network and empirical model
Water and Environment Journal, Aralık 2018, ISSN: 1747-6585
TAYFUR GÖKMEN,AKSOY HAFZÜLLAH,ERİŞ DUMAN EBRU
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