Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ozan Kocadağlı"'
Publikováno v:
Applied Stochastic Models in Business and Industry. 37:203-228
Autor:
Reza Langari, Ozan Kocadağlı
Publikováno v:
Expert Systems with Applications. 88:419-434
Epilepsy is one of the most common central nervous system disorders. Epileptic people suffer from recurrent seizures depending on many trigger factors such as genetic, physiologic, brain damage, etc. Epileptic seizures occur at unpredictable times an
Publikováno v:
EURO Journal on Decision Processes. 4:245-267
The efficient use of resources in health systems is important due to the increasing demand and limited funding. Large health systems often have fixed input resources (such as budget and staffing) to be allocated among individual hospitals/clinics wit
Autor:
Rıdvan Keskin, Ozan Kocadağlı
Publikováno v:
Expert Systems with Applications. 42:6898-6912
A novel fuzzy portfolio selection approach is proposed.This approach is based on the fuzzy goal programming techniques.Portfolio return, risk and beta coefficient are defined as the fuzzy goals.This approach allows defining certain importance and pri
Autor:
Ozan Kocadağlı
Publikováno v:
Applied Soft Computing. 35:52-65
A novel Monte Carlo algorithm is proposed to train Bayesian neural networks.This algorithm is based on the full Bayesian approach of artificial neural networks.Monte Carlo methods are integrated with GAs and fuzzy membership functions.Proposed algori
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 28:633-645
In this article, a novel portfolio selection model is proposed. This model is essentially based on the fuzzy goal programming with preemptive structure. In order to construct this model; the portfolio risk, the return levels and the beta coefficient
Autor:
Ozan Kocadağlı, Baris Asikgil
Publikováno v:
Expert Systems with Applications. 41:6596-6610
The Bayesian learning provides a natural way to model the nonlinear structure as the artificial neural networks due to their capability to cope with the model complexity. In this paper, an evolutionary Monte Carlo (MC) algorithm is proposed to train
Autor:
Ozan Kocadağlı
Publikováno v:
International Journal of Industrial and Systems Engineering. 9:49
In regression analysis, in order to achieve the consistent estimations and predictions, certain statistical assumptions have to be provided. When faced with problems such as insufficient observations, non-normality of error term, autocorrelation and