کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7919207 1511104 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A preliminary study on applicability of artificial neural network for optimized reflector designs
ترجمه فارسی عنوان
یک مطالعه اولیه در مورد کاربرد شبکه عصبی مصنوعی برای طرح های بازتابنده بهینه سازی شده
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی
The neutron reflector is a material to reflect neutrons into reactor cores. The reflectors are designed with their one purpose such as increasing the criticality, specific flux distribution, and others. Generally, the reflector design has been conducted by the experiences of designers due to the lots of design variables such as material selection and arrangement. In this study, the applicability of the artificial neural network is preliminarily studied for the optimization of the reflector arrangement. For the research, a system of artificial neural network was developed using C++ program language. The feedforward neural network was used with three layers which are input, hidden, and output layers. The back-propagation algorithm was adopted for the training of the neural network. After the construction of the neural network system, the optimization and auto machine learning algorithms was developed by C++ programing language for the preliminary study on the applicability of artificial neural network into the reflector design. The results show that the reflector gives a good performance to obtain the goal responses. It is expected that this system can contribute to dramatically increase the efficiency of the reflector designs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Procedia - Volume 131, December 2017, Pages 77-85
نویسندگان
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