Transfer learning based physics-informed neural networks for solving inverse problems in tunneling.
Chen XuBa-Trung CaoYong YuanGünther MeschkePublished in: CoRR (2022)
Keyphrases
- transfer learning
- inverse problems
- neural network
- image reconstruction
- knowledge transfer
- global optimization
- learning tasks
- reinforcement learning
- labeled data
- cross domain
- optimization problems
- machine learning
- convex optimization
- active learning
- pattern recognition
- text classification
- partial differential equations
- transfer knowledge
- machine learning algorithms
- text categorization
- text mining
- collaborative filtering
- optimization methods
- genetic algorithm
- training data
- early vision
- parameter space
- feature extraction
- decision trees
- target domain
- data sets