Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation.
Anna IvagnesNicola DemoGianluigi RozzaPublished in: J. Sci. Comput. (2023)
Keyphrases
- inverse problems
- machine learning
- dimensionality reduction
- neural network
- reduced order
- pattern recognition
- low dimensional
- closed form
- image reconstruction
- high dimensional
- convex optimization
- global optimization
- feature selection
- kalman filtering
- computer vision
- high dimensional data
- optimization methods
- feature space
- evolutionary algorithm
- denoising
- image sequences
- image processing