Scalable neural network models and terascale datasets for particle-flow reconstruction.
Joosep PataEric WulffFarouk MokhtarDavid SouthwickMengke ZhangMaria GironeJavier M. DuartePublished in: CoRR (2023)
Keyphrases
- neural network model
- neural network
- artificial neural networks
- neural models
- input variables
- image reconstruction
- bp neural network
- multilayer perceptron
- discrete tomography
- prior knowledge
- rbf neural network
- network architecture
- three dimensional
- high resolution
- flow field
- multi layer perceptron
- web scale
- binary matrices
- radial basis function network
- bayesian inference
- bayesian framework
- benchmark datasets
- learning algorithm