On transfer learning of neural networks using bi-fidelity data for uncertainty propagation

Subhayan De, Jolene Britton, Matthew Reynolds +3

Due to their high degree of expressiveness, neural networks have recently been used as surrogate models for mapping inputs of an engineering system to outputs of interest. Once tra…