Neural network approximation of continuous functions in high dimensions with applications to inverse problems.
Santhosh KarnikRongrong WangMark A. IwenPublished in: J. Comput. Appl. Math. (2024)
Keyphrases
- continuous functions
- high dimensions
- inverse problems
- neural network
- activation function
- image reconstruction
- global optimization
- high dimensional data
- real valued
- high dimensional
- differential equations
- convex optimization
- artificial neural networks
- optimization problems
- back propagation
- poor quality
- optimization methods
- early vision
- high dimensional spaces
- neural nets
- feed forward
- hidden layer
- network architecture
- partial differential equations
- pattern recognition
- recurrent neural networks
- multilayer perceptron
- neural network model
- endpoints
- nonlinear functions
- multi objective
- high quality
- multi layer perceptron
- learning algorithm
- data sets