Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs.
Ludovica CicciStefania FrescaAndrea ManzoniPublished in: CoRR (2022)
Keyphrases
- deep learning
- partial differential equations
- solving partial differential equations
- difference equations
- unsupervised feature learning
- unsupervised learning
- deep architectures
- machine learning
- diffusion equation
- deep belief networks
- mental models
- restricted boltzmann machine
- level set
- image processing
- weakly supervised
- learning algorithm
- multiscale
- long range
- computer vision
- natural language processing
- pattern recognition
- bayesian networks
- face recognition