Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification.
Shaoxing MoNicholas ZabarasXiaoqing ShiJichun WuPublished in: CoRR (2018)
Keyphrases
- autoregressive
- inverse problems
- neural network
- high dimensional
- image reconstruction
- global optimization
- non stationary
- convex optimization
- random fields
- optimization methods
- partial differential equations
- optimization problems
- parameter space
- genetic algorithm
- artificial neural networks
- sar images
- smoothness constraint
- computationally expensive
- particle swarm optimization
- evolutionary algorithm
- feature space
- parameter estimation
- early vision