Penetration rate optimization with support vector regression method
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2015
KORHAN KOR
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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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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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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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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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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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A New Look at Well to Well Correlations using Nonparametric Nonlinear Regression
Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, California, Stanford/AMERİKA BİRLEŞİK DEVLETLERİ, 31 Ocak 2013
KORKMAZ BAŞEL EMİNE DİDEM,JULİUSSON EGİLL,ROLAND N HORNE
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Applicability of regression analysis on the oxygen enriched combustion of Kutahya-Tuncbilek lignite
2nd International Conference on Pure and Applied Mathematics, Van/TÜRKİYE, 11 Eylül 2018, s. 140
UĞUZ ÖZLEM,DEMİRCİ ALİ,AÇMA HANZADE,YAMAN SERDAR
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Applicability of regression analysis on the oxygen enriched combustion of AdiyamanGolbasi lignite
2nd International Conference on Pure and Applied Mathematics, Van/TÜRKİYE, 11 Eylül 2018, s. 141
UĞUZ ÖZLEM,DEMİRCİ ALİ,AÇMA HANZADE,YAMAN SERDAR
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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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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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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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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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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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