Neural Network Layers for Prediction of Positive Definite Elastic Stiffness Tensors.
Charles F. JekelKenneth E. SwartzDaniel A. WhiteDaniel A. TortorelliSeth E. WattsPublished in: CoRR (2022)
Keyphrases
- positive definite
- neural network
- diffusion tensor
- prediction model
- kernel function
- covariance matrix
- tensor space
- geometric structure
- kernel matrix
- symmetric matrices
- structure tensor
- semi parametric
- reproducing kernel hilbert space
- training process
- artificial neural networks
- kernel machines
- back propagation
- sufficient conditions
- white matter
- support vector
- radial basis function
- riemannian metric
- tensor field
- pairwise
- principal component analysis
- neural network model