A Nuclear Power Plant Expert System Using Artificial Neural Networks

In this study, ANNs are introduced to act as a bridge between detailed computer codes and compact simulators with an aim to improve the capabilities of compact expert system. The ANNs compensate for the inaccuracies of a compact expert system occurring from simplified governing equations and a reduced number of physical control volumes, and predict the critical parameter usually calculated from the sophisticated computer code. To verify the appli-cability of the proposed methodology, computer simulations are undertaken for loss of flow accidents (LOFA).