GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications.
Oisín M. MorrisonFederico PichiJan S. HesthavenPublished in: CoRR (2024)
Keyphrases
- feed forward
- recurrent networks
- neural nets
- error back propagation
- complex networks
- back propagation
- learning process
- neural network
- learning algorithm
- input output
- fully connected
- biologically plausible
- learning tasks
- graph theory
- biologically inspired
- learning scheme
- neural architecture
- spiking neural networks
- artificial neural networks