Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models

Sarvin Moradi, Nick Jaensson, Roland Tóth +1

In order to make data-driven models of physical systems interpretable and reliable, it is essential to include prior physical knowledge in the modeling framework. Hamiltonian Neura…