Author/Authors :
BAŞYİĞİT, Celalettin Süleyman Demirel Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey , KAÇAR AKKAŞ, Ayşe Süleyman Demirel Üniversitesi - Teknoloji Fakültesi - İmalat Mühendisliği Bölümü, Turkey , KURTARICI, M. Necip Süleyman Demirel Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey
Title Of Article :
Prediction of Radiation Shielding Thickness of Concretes by Artificial Neural Networks and Multiple Regression Methods
Abstract :
In this study, concretes for using in radiation shielding thickness was determined in different energy ranges using tenth value layer by artificial neural networks (ANN) and multiple regression methods. Radiation energy values, Tenth value layers (TVL) and negatif logoritmic of transmission percent (n) were selected as input parameres and concrete shielding thickness values selected as output parameters Consequently, developed artificial neural networks and multiple regression models outputs were compared with theoretical results and it was seen that the results were harmonious.
NaturalLanguageKeyword :
Radiation , Artificial Neural Networks , Concrete , Radiation Shielding
JournalTitle :
Journal Of Natural and Applied Sciences
