Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy.
Markus BachmayrWolfgang DahmenMathias OsterPublished in: CoRR (2024)
Keyphrases
- regression model
- partial differential equations
- high accuracy
- neural network
- computational cost
- network architecture
- classification accuracy
- bio inspired
- highly accurate
- computational efficiency
- prediction accuracy
- computational complexity
- multiscale
- error rate
- model selection
- least squares
- mathematical morphology
- image processing
- computer vision
- data sets