Pages that link to "Item:Q839172"
From MaRDI portal
The following pages link to The use of neural network approximation models to speed up the optimisation process in electrical impedance tomography (Q839172):
Displaying 5 items.
- Recycling Krylov subspaces for efficient large-scale electrical impedance tomography (Q643867) (← links)
- Principal component analysis and artificial neural network approach to electrical impedance tomography problems approximated by multi-region boundary element method (Q1958364) (← links)
- Computational mechanics enhanced by deep learning (Q2310108) (← links)
- Electromagnetic non-destructive evaluation by vector finite-element neural networks (Q3082620) (← links)
- Construct Deep Neural Networks based on Direct Sampling Methods for Solving Electrical Impedance Tomography (Q4997381) (← links)