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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Practical approaches to streamflow prediction: a comparative study of lumped models, regression methods, and machine learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 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
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
MIDYAN ALDABASH
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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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Extended water budget equation based on the fuzzy regression and implementation for lake Van
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
ECEM UYSAL
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Estimation of total carbon, hydrogen, sulfur and gross calorific value by using multi lineer regression method
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
MUHAMMET SÖZER
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High-resolution soil salinity mapping using machine learning based regression and classification methods
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
AYLİN YILDIRIM
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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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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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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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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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Prediction of Commonly used Drought Indices using Support Vector Regression Powered by Chaotic Approach
Italian Journal of Agrometeorology-Rivista Italiana di Agrometeorologia, Ocak 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, 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, Aralık 2020, ISSN: 2038-5625
BAYDAROĞLU YEŞİLKÖY ÖZLEM,KOÇAK KASIM,ŞAYLAN LEVENT
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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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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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