Multifidelity domain decomposition-based physics-informed neural networks for time-dependent problems.
Alexander HeinleinAmanda A. HowardDamien BeecroftPanos StinisPublished in: CoRR (2024)
Keyphrases
- neural network
- pattern recognition
- np complete
- problems involving
- genetic algorithm
- back propagation
- domain specific
- complex domains
- machine learning
- benchmark problems
- recurrent neural networks
- feed forward
- data mining
- artificial neural networks
- data sets
- multiscale
- image processing
- decision making
- information systems
- artificial intelligence