Designing reactor cores by means of an artificial neural network is a difficult challenge, because there are many variables in the core configuration.
This study presents a feasibility study on the automatic design of a research reactor core using an artificial neural network.
By imitating conventional design procedure, a way to design the core is developed by means of the artificial neural network and automatic machine learning.
The results reveal that the reactor core designed by the proposed method performs well and will, therefore, provide a clue to innovation in future reactor design with artificial intelligence.