iPINNs: Incremental learning for Physics-informed neural networks

Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax +1

Physics-informed neural networks (PINNs) have recently become a powerful tool for solving partial differential equations (PDEs). However, finding a set of neural network parameters…