PREDICTION OF COMPUTER GAME ADDICTION IN CHILDREN USING DEVELOPED ARTIFICIAL NEURAL NETWORKS (ANN) AND MULTIPLE LINEAR REGRESSION (MLR) MODELS

PREDICTION OF COMPUTER GAME ADDICTION IN CHILDREN USING DEVELOPED ARTIFICIAL NEURAL NETWORKS (ANN) AND MULTIPLE LINEAR REGRESSION (MLR) MODELS

Game addiction in children plays a major role in the mental and physical development of the child. Therefore, various scales are used to examine computer game addiction of children and various input parameters (age, gender, daily play time, etc.) are utilized in scales. The purpose of this stu...

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Bibliographic Details
Main Authors: Esma UZUNHİSARLIKCI, Erhan KAVUNCUOĞLU, Hanife AKGÜL
Format: Article
Language:deu
Published: Trakya University 2021-12-01
Series:Trakya Üniversitesi Sosyal Bilimler Dergisi
Subjects:
artificial neural network
multiple linear regression
prediction of computer game addiction
expert system.
Online Access:https://dergipark.org.tr/tr/download/article-file/1271488

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