Machine learning-based surrogate models and transfer learning for derivative free optimization of HT-PEM fuel cells.
Luis A. Briceno-MenaChristopher G. ArgesJosé A. RomagnoliPublished in: Comput. Chem. Eng. (2023)
Keyphrases
- transfer learning
- derivative free
- machine learning
- learning tasks
- unconstrained optimization
- neural learning
- gradient method
- reinforcement learning
- machine learning algorithms
- knowledge transfer
- active learning
- semi supervised learning
- optimization methods
- cross domain
- labeled data
- constrained optimization
- text classification
- domain adaptation
- data mining
- hough transform
- structure learning
- learning problems
- learning algorithm
- penalty function
- trust region
- multi view
- text categorization
- collaborative filtering
- transfer knowledge
- fan beam
- feature selection
- supervised learning
- information extraction
- nonlinear optimization
- target domain
- neural network
- decision trees
- knowledge discovery
- face recognition
- evolutionary algorithm
- unsupervised learning
- support vector machine
- incremental learning
- natural language processing
- optimization problems
- unlabeled data
- model selection