A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method.
Shahed RezaeiAli HarandiAhmad MoeineddinBai-Xiang XuStefanie ReesePublished in: CoRR (2022)
Keyphrases
- engineering problems
- finite element method
- neural network
- finite element
- engineering design
- numerical simulations
- search based software engineering
- multiobjective optimization
- numerical solution
- real world
- biological systems
- fuzzy logic
- numerical methods
- multi objective
- artificial neural networks
- diffuse optical tomography
- genetic algorithm
- machine learning
- boundary conditions
- artificial intelligence