High-Dimensional Uncertainty Quantification in Electrical Impedance Tomography Forward Problem Based on Deep Neural Network.
Yingge ZhaoLingyue WangYing LiRenjie HeChonglei MaPublished in: IEEE Access (2023)
Keyphrases
- neural network
- high dimensional
- transmission line
- back propagation
- low dimensional
- artificial neural networks
- image reconstruction
- dimensionality reduction
- similarity search
- neural network is trained
- tomographic reconstruction
- sparse data
- genetic algorithm
- variable selection
- neural network model
- neural nets
- bi directional
- uncertain data
- metric space
- parameter space
- pattern recognition
- fuzzy logic
- electrical properties
- gene expression data
- recurrent neural networks
- high dimensionality
- power system
- power grid
- feature space
- multi layer
- iterative reconstruction
- learning algorithm
- low voltage
- multi dimensional
- network architecture
- high dimensional data
- prediction model
- input space
- feed forward
- noisy data