Classification of thermal-hydraulics using scenarios of non-parametric techniques

The objective of the study is to apply a probabilistic neural network (PNN) that allow to classify sheath temperature trajectory from the beginning of the accident to the stabilization of the plant from a certain inputs and a starting from these groups establish models that predict the clad temperature peaking.