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Toplam kayıt 17, listelenen: 11-17
Dating currency crises and designing early warning systems: Meta-possibilistic fuzzy index functions
(Wiley, 2020)
In order to analyse the currency crises in Turkey over the period of January 1990 and October 2019, we first dated currency crises with meta-possibilistic fuzzy index functions. Then, we determined the significant predictors ...
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 ...
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 ...
Gradient boosting for Parkinson's disease diagnosis from voice recordings
(Bmc, 2020)
Background Parkinson's Disease (PD) is a clinically diagnosed neurodegenerative disorder that affects both motor and non-motor neural circuits. Speech deterioration (hypokinetic dysarthria) is a common symptom, which often ...
Fungi form interkingdom microbial communities in the primordial human gut that develop with gestational age
(Federation Amer Soc Exp Biol, 2019)
Fungal and bacterial commensal organisms play a complex role in the health of the human host. Expansion of commensal ecology after birth is a critical period in human immune development. However, the initial fungal ...
THE VALIDITY OF PURCHASING POWER PARITY IN THE BRICS COUNTRIES
(Univ Economics-Prague, 2018)
It is observed that purchasing power parity (PPP) as one of the controversial and most interesting topics of international macroeconomics literature is tested by using different econometric methods for certain countries ...
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 ...