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Toplam kayıt 39, listelenen: 21-30
Meta fuzzy functions based feed-forward neural networks with a single hidden layer for forecasting
(Taylor & Francis Ltd, 2021)
Feed-forward neural networks have been frequently used in forecasting problems, recently. In this study, we propose a naive method to improve the forecasting ability of feed-forward neural networks with a single hidden ...
ORGAN BAĞIŞINDA KAMU SPOTU ETKİSİNİN NİTEL TERCİH MODELLERİ İLE ANALİZİ
(Kırklareli Üniversitesi, 2017)
Amaç: Çalışmada, KırklareliÜniversitesi öğrencilerinin organ bağışı konusundaki yaklaşım ve tutumlarınaetki eden faktörler ele alınmıştır. Bu bağlamda Özellikle Diyanet İşleriBaşkanlığı’nın 2016 yılında yayınladığı Kamu ...
Health Expenditure and Economic Growth Relationship in the Case of Structural Break: A Case Study for Turkey
(Kırklareli Üniversitesi, 2012)
Çalışmada, ekonomik büyümenin temel unsurlarından biri olan sağlık ile ekonomik büyüme arasındaki ilişkinin araştırılması amaçlanmıştır. Bu amaç doğrultusunda Türkiye’de sağlık harcamaları ve GSYİH arasındaki ilişki ...
Type-1 recurrent intuitionistic fuzzy functions for forecasting
(Pergamon-Elsevier Science Ltd, 2020)
In this study, a novel forecasting method that employs intuitionistic fuzzy c-means clustering and a grey wolf optimizer in recurrent type-1 fuzzy functions (R-T1FFs) is introduced. R-T1FFs, which adapt to the moving average ...
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 ...