SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs.
Amuthan A. RamabathiranPrabhu RamachandranPublished in: J. Comput. Phys. (2021)
Keyphrases
- neural network
- pattern recognition
- partial differential equations
- genetic algorithm
- artificial neural networks
- sparse data
- feed forward
- sparse representation
- level set
- classification rules
- back propagation
- compressed sensing
- image processing
- numerical solution
- image formation
- self organizing maps
- fuzzy logic
- compressive sensing
- high dimensional
- neural network model
- multilayer perceptron
- recurrent neural networks
- fuzzy systems
- sparse matrix
- activation function
- neural nets
- radial basis function
- image denoising
- deformable models