Extremization to Fine Tune Physics Informed Neural Networks for Solving
Boundary Value Problems
Extremization to Fine Tune Physics Informed Neural Networks for Solving
Boundary Value Problems
We propose a novel method for fast and accurate training of physics-informed neural networks (PINNs) to find solutions to boundary value problems (BVPs) and initial boundary value problems (IBVPs). By combining the methods of training deep neural networks (DNNs) and Extreme Learning Machines (ELMs), we develop a model which has …