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yunus ziya kaya
yunus ziya kaya
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标题
引用次数
引用次数
年份
Forecasting of suspended sediment in rivers using artificial neural networks approach
B Taşar, YZ Kaya, H Varçin, F Üneş, M Demirci
International Journal of Advanced Engineering Research and Science 4 (12 …, 2017
492017
Estimating dam reservoir level fluctuations using data-driven techniques
F Üneş, M Demirci, B Taşar, YZ Kaya, H Varçin
Hard, 2019
452019
Estimation of daily evapotranspiration in Košice City (Slovakia) using several soft computing techniques
YZ Kaya, M Zelenakova, F Üneş, M Demirci, H Hlavata, P Mesaros
Theoretical and Applied Climatology 144, 287-298, 2021
442021
Groundwater level prediction using artificial neural network and M5 tree models
YZ Kaya, F Üneş, M Demirci, B Taşar, H Varçin
Aerul si Apa. Componente ale Mediului, 195-201, 2018
442018
Yapay sinir ağları yöntemi kullanılarak buharlaşma miktarı tahmini
B Taşar, F Üneş, M Demirci, YZ Kaya
Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 9 (1), 543-551, 2018
392018
A laboratory study on pull-out resistance of geogrid in clay soil
G Altay, C Kayadelen, T Taşkıran, YZ Kaya
Measurement 139, 301-307, 2019
352019
Estimation of groundwater level using artificial neural networks: a case study of Hatay-Turkey
F Üneş, M Demirci, E İspir, YZ Kaya, M Mamak, B Taşar
Vilnius Gediminas Technical University Publishing House" Technika", 2017
342017
Daily reference evapotranspiration prediction based on climatic conditions applying different data mining techniques and empirical equations
F Üneş, YZ Kaya, M Mamak
Theoretical and applied climatology 141, 763-773, 2020
312020
The evaluation and comparison of daily reference evapotranspiration with ANN and empirical methods
F Üneş, S Doğan, B Taşar, Y Kaya, M Demirci
Natural and Engineering Sciences 3 (3), 54-64, 2018
282018
MODELING OF DAM RESERVOIR VOLUME USING ADAPTIVE NEURO FUZZY METHOD.
M Demirci, F Unes, YZ Kaya, B Tasar, H Varcin
Air & Water Components of the Environment/Aerul si Apa Componente ale Mediului, 2018
272018
River flow estimation using artificial intelligence and fuzzy techniques
F Üneş, M Demirci, M Zelenakova, M Çalışıcı, B Taşar, F Vranay, YZ Kaya
Water 12 (9), 2427, 2020
252020
Modeling of dam reservoir volume using generalized regression neural network, support vector machines and M5 decision tree models
F Üneş, M Demirci, B Taşar, YZ Kaya, H Varçin
APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2019
232019
Evapotranspiration prediction using M5T data mining method
YZ Kaya, M Mamak, F Unes
International Journal of Advanced Engineering Research and Science 3 (12 …, 2016
192016
Determination of Groundwater Level Fluctuations by Artificial Neural Networks
F Üneş, ZM Bahadırlı, M Demirci, B Taşar, H Varçin, YZ Kaya
17*
Estimation of Groundwater Level Fluctuations Using Neuro-Fuzzy and Support Vector Regression Models
M Demirci, B Taşar, YZ Kaya, H Varçin
Int. J. Adv. Eng. Res. Sci 5, 206-211, 2018
132018
Estimation of Rainfall-Runoff Relationship Using Artificial Neural Network Models for Muskegon Basin
F Üneş, O Bölük, YZ Kaya, B Taşar, H Varçin
International Journal of Advanced Engineering Research and Science 5 (12 …, 2018
132018
Günlük buharlaşma miktarının bulanık mantık yöntemleri kullanılarak bölgesel olarak modellenmesi
K Özdülkar, F Üneş, M Demirci, YZ Kaya
Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 2 (1), 23-29, 2019
82019
Evapotranspiration calculation for South Carolina, usa and creation different anfis models for et estimation
YZ Kaya, B Taşar
Aerul si Apa. Componente ale Mediului, 217-224, 2019
82019
Evapotranspiration estimation using support vector machines and Hargreaves-Samani equation for St. Johns, FL, USA
F Üneş, YZ Kaya, M Mamak, M Demirci
Vilnius Gediminas Technical University Publishing House" Technika", 2017
72017
Daily suspended sediment prediction using seasonal time series and artificial intelligence techniques
F Üneş, B Taşar, M Demirci, M Zelenakova, YZ Kaya, H Varçin
Rocznik Ochrona Środowiska 23, 2021
62021
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