Abstract
HTTR is a graphite-moderated and helium gas cooled reactor with 30 MW in thermal power. To analyze the reactivity based on central control rod (C-CR) level, modeling system was created using neural network. Neural network is artificial intelligence that has been applied successfully to solve some difficult and diverse problems by its training with a popular error back-propagation algorithm. In this research, C-CR level modeling is to determine the reactivity value.
