SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs.
Amuthan A. RamabathiranPrabhu RamachandranPublished in: CoRR (2021)
Keyphrases
- neural network
- pattern recognition
- partial differential equations
- back propagation
- artificial neural networks
- deformable models
- numerical solution
- level set
- high dimensional
- fuzzy logic
- genetic algorithm
- sparse data
- sparse representation
- training process
- fault diagnosis
- data sets
- image denoising
- neural nets
- feed forward
- compressive sensing
- activation function
- multilayer perceptron
- neural network model
- image segmentation
- self organizing maps
- recurrent neural networks
- multi layer
- fuzzy systems
- image formation
- multiscale
- natural images
- medical images
- rule extraction
- nearest neighbor