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Türkiye ekonomisi’nde ihracata dayalı büyüme hipotezinin yapısal kırılmalı birim kök ve eşbütünleşme testleri ile incelenmesi
(2012)
elişmiş ve gelişmekte olan ülke ekonomilerinin en önemli konula- rından biri olan ekonomik büyüme ile ilişkili belirli kavramlar vardır. Ül- kelerin gelişmesinin göstergelerinden biri, o ülkede yaşayan insanların yaşam ...
HEGY MEVSİMSEL BİRİM KÖK TESTİ: TÜRKİYE'DE TÜFE VE TÜFE HARCAMA GRUPLARI İÇİN BİR UYGULAMA
(Kırklareli Üniversitesi, 2012)
Zaman serilerinde sıkça rastlanan mevsimsellik, özellikle aylık ve üçer aylık zaman serilerinde belirli artışlar veya azalışlar şeklinde görülmektedir. Bu zaman serilerinin sergilediği mevsimsel değişimi test etmek için ...
Type-1 possibilistic fuzzy forecasting functions
(Elsevier, 2020)
Type-1 Fuzzy Functions (T1FFs) were developed by Turksen as an alternative fuzzy inference system (FIS) and have been commonly used in forecasting problems. The main advantages of T1FFs are that they are free of rules and ...
A fuzzy ID3 induction for linguistic data sets
(Wiley, 2018)
In real life, humans communicate by means of words. Computing with words enables flexibility via fuzzy logic to reach more informative results for the classification and decision-making. Fuzzy logic handles the imprecise ...
Meta fuzzy functions: Application of recurrent type-1 fuzzy functions
(2018-12)
The main objective of meta-analysis is to aggregate the results of multiple scientific studies on a specific topic. Instead of aggregating the results of different studies, different methods are aggregated with the help ...
Machine Learning to Identify Dialysis Patients at High Death Risk
(Elsevier Science Inc, 2019)
Introduction: Given the high mortality rate within the first year of dialysis initiation, an accurate estimation of postdialysis mortality could help patients and clinicians in decision making about initiation of dialysis. ...
Application of machine learning to the prediction of postoperative sepsis after appendectomy
(Mosby-Elsevier, 2021)
Background: We applied various machine learning algorithms to a large national dataset to model the risk of postoperative sepsis after appendectomy to evaluate utility of such methods and identify factors associated with ...
J-curve in Turkish bilateral trade: A nonlinear approach
(Taylor and Francis Inc., 2019)
This study aims to bring further evidence on recent developments of the J-curve literature by employing linear and nonlinear autoregressive distributed lag (ARDL) approaches for Turkish bilateral trade data with respect ...
EĞİTİMİN EMEK PİYASASI ÜZERİNE ETKİSİ: OECD ÜLKELERİ ÜZERİNE BİR ARAŞTIRMA
(Kırklareli Üniversitesi, 2020)
Araştırma, eğitimin emek piyasaları üzerindeki etkisini ölçmeyi amaçlamaktadır. Araştırmada 35 OECD ülkesi örneklem olarak seçilerek, 2017 yılı veri seti ile çalışılmıştır. İlgili veri seti OECD istatistiklerinde yer alan ...
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)
(Ieee-Inst Electrical Electronics Engineers Inc, 2021)
Gradient-based algorithms have been widely used in optimizing parameters of deep neural networks' (DNNs) architectures. However, the vanishing gradient remains as one of the common issues in the parameter optimization of ...