NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations.
Kirill ZubovZoe McCarthyYingbo MaFrancesco CalistoValerio PagliarinoSimone AzeglioLuca BotteroEmmanuel LujánValentin SulzerAshutosh BharambeNand VinchhiKaushik BalakrishnanDevesh UpadhyayChristopher RackauckasPublished in: CoRR (2021)
Keyphrases
- neural network
- artificial neural networks
- computer science
- error bounds
- pattern recognition
- fuzzy logic
- neural network model
- error metrics
- self organizing maps
- error rate
- fuzzy systems
- error analysis
- efficient computation
- quantum mechanics
- case study
- feature selection
- feed forward
- multi layer
- training process
- training algorithm
- linear complexity
- error free
- genetic algorithm