Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks.
Bangti JinXiyao LiQimeng QuanZhi ZhouPublished in: SIAM J. Imaging Sci. (2024)
Keyphrases
- least squares
- neural network
- internal structures
- optical properties
- artificial neural networks
- levenberg marquardt
- robust estimation
- image analysis
- parameter estimation
- image processing
- sparse linear
- high resolution
- imaging systems
- bundle adjustment
- neural nets
- pattern recognition
- neural network model
- fuzzy logic
- radial basis function
- medical imaging
- self organizing maps
- back propagation
- optical flow
- high dynamic range
- electric field
- genetic algorithm
- imaging process
- synthetic aperture sonar
- physical models
- atomic force microscopy
- phase unwrapping
- training process
- low frequency
- function approximation
- recurrent neural networks
- multilayer perceptron
- three dimensional