High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations.
Ginger EgbertsFred J. VermolenPaul van ZuijlenPublished in: Frontiers Appl. Math. Stat. (2023)
Keyphrases
- finite element
- high speed
- neural network
- multilayer perceptron
- auto associative
- multi layer perceptron
- training process
- artificial neural networks
- elman network
- finite element analysis
- mesh generation
- finite element method
- back propagation
- soft tissue
- gpu accelerated
- neural network model
- boundary element
- real time
- material properties
- numerical solution
- finite difference
- finite element model
- radial basis function
- tissue deformation
- numerical simulations