XinyuanLiao/Adaptive-optimization-of-PINN
Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm
This project helps scientific researchers and engineers working with complex physical systems to solve inverse problems more efficiently. It takes in observational data and the governing physical equations, and outputs optimized parameters or conditions of the system. Scientists and engineers who model physical phenomena would use this.
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Use this if you need to determine unknown parameters or conditions of a physical system by combining observed data with its underlying physics, especially when dealing with non-linear partial differential equations.
Not ideal if your problem doesn't involve physical equations or requires a more general-purpose machine learning model without physics constraints.
Stars
33
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 02, 2023
Commits (30d)
0
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