Power-enhanced residual network for function approximation and physics-informed inverse problems.
Amir NoorizadeganD. L. YoungY. C. HonC. S. ChenPublished in: Appl. Math. Comput. (2024)
Keyphrases
- function approximation
- inverse problems
- reinforcement learning
- radial basis function
- image reconstruction
- learning tasks
- temporal difference
- temporal difference learning algorithms
- convex optimization
- global optimization
- state space
- evolutionary algorithm
- learning algorithm
- partial differential equations
- optimization methods
- high dimensional
- support vector