An Application on Researching the Usability and Efficiency of Artificial Neural Network Models in Statistical Applications

Authors : Halil Eryilmaz, Ali Fuat Yüzer

Pages : 1-14

View : 57 | Download : 62

Publication Date : 2023-12-21

Article Type : Research

Abstract :before, by generalizing the relationship between inputs and outputs related to a problem from existing samples. In the studies conducted in this area, it has been pointed out that the artificial neural network models are similar to some statistical methods, while the working principles of some of them are almost the same. Because of the similarities between these two disciplines, they need to be compared with each other to show how important one is in the development of the other. In this study, it is aimed to investigate the usability and effectiveness of artificial neural network models in binary classification problems. For this purpose, firstly, artificial neural network models are briefly mentioned. Then, the similarities between them and some statistical methods were taken into consideration. In the application phase, logistic regression analysis, which is frequently used in binary classification problems, and artificial neural network models were applied on a data set obtained from patients who consulted the Internal Medicine polyclinic of Osmangazi University Health, Application and Research Hospital, and the results were compared. According to the results obtained, it was observed that artificial neural network models gave better results than logistic regression analysis in binary classification problems.
Keywords : Yapay Sinir Ağları, Geriye Yayılım, Lojistik Regresyon Modeli