Ara
Toplam kayıt 11, listelenen: 1-10
A Novel ARMA Type Possibilistic Fuzzy Forecasting Functions Based on Grey-Wolf Optimizer (ARMA-PFFs)
(Springer, 2021)
This study proposes a new time series forecasting method that employs possibilistic fuzzy c-means, an autoregressive moving average model (ARMA), and a grey wolf optimizer (GWO) in type-1 fuzzy functions. Type-1 fuzzy ...
Forecast combination with meta possibilistic fuzzy functions
(Elsevier Science Inc, 2021)
There are many methods to obtain accurate forecasts for time series data in the literature. It is imperative to find an appropriate method with the correct assumptions for a given data set and circumstances. However, the ...
How does the digital economy and society index (DESI) affect labor market indicators in EU countries?
(Ios Press, 2021)
OBJECTIVE: This study aims to determine the effects of the DESI (connectivity, human capital/digital skills, use of internet service by citizens, integration of digital technology and digital public services) on labor ...
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 ...
An empirical analysis of gentrification in Istanbul
(Wiley, 2021)
This paper begins by investigating the occurrence of gentrification in Istanbul during the period of 2008 and 2017, through the application of dynamic system/difference generalized method of moments estimation techniques. ...
Anti-populist coups d'etat in the twenty-first century: reasons, dynamics and consequences
(Routledge Journals, Taylor & Francis Ltd, 2021)
There is a burgeoning literature on how to deal with populism in advanced liberal democracies, which puts a strong emphasis on legalist and pluralist methods. There is also a new and expanding literature that looks at the ...
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 ...
Housing sales of real estate developers in Turkey
(Emerald Group Publishing Ltd, 2021)
Purpose Because of competition, residential property developers use a variety of promotional tools to gain recognition and increase their market share and the demand for housing, and to manage their customer relations. ...
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 ...
The effect of COVID-19 anxiety levels of healthcare professionals on the quality of working life and related factors
(Wiley, 2021)
Aim This study aims to determine the effect of COVID-19 anxiety levels of healthcare professionals on their working life quality. Method The sample of the descriptive, cross-sectional and correlational study consisted of ...