Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs

Jose Florido, He Wang, Amirul Khan +1

Physics-informed neural networks (PINNs) provide a means of obtaining approximate solutions of partial differential equations and systems through the minimisation of an objective f…