Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations.
Taniya KapoorHongrui WangAlfredo NúñezRolf P. B. J. DollevoetPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- transfer learning
- neural network
- learning tasks
- knowledge transfer
- labeled data
- reinforcement learning
- machine learning
- semi supervised learning
- active learning
- collaborative filtering
- multi task learning
- text categorization
- structure learning
- cross domain
- artificial intelligence
- transfer knowledge
- text classification
- domain adaptation
- learning algorithm
- machine learning algorithms
- multi task
- target domain
- pattern recognition
- unlabeled data
- supervised learning
- manifold alignment
- decision trees
- cross domain learning
- data sets
- k nearest neighbor
- text mining
- semi supervised
- natural language
- bayesian networks